diff --git a/benchmarks/a3c/README.md b/benchmarks/a3c/README.md
index ba3749a..b17a758 100644
--- a/benchmarks/a3c/README.md
+++ b/benchmarks/a3c/README.md
@@ -1,7 +1,7 @@
 # A3C
 
 Each experiment uses 3 seeds.
-The parameters used for Clipped PPO are the same parameters as described in the [original paper](https://arxiv.org/abs/1707.06347).
+The parameters used for A3C are the same parameters as described in the [original paper](https://arxiv.org/abs/1602.01783).
 
 ### Inverted Pendulum A3C - 1/2/4/8/16 workers
 
diff --git a/rl_coach/presets/Doom_Basic_DFP.py b/rl_coach/presets/Doom_Basic_DFP.py
index dac99e5..ab57a14 100644
--- a/rl_coach/presets/Doom_Basic_DFP.py
+++ b/rl_coach/presets/Doom_Basic_DFP.py
@@ -1,5 +1,5 @@
 from rl_coach.agents.dfp_agent import DFPAgentParameters, HandlingTargetsAfterEpisodeEnd
-from rl_coach.base_parameters import VisualizationParameters
+from rl_coach.base_parameters import VisualizationParameters, PresetValidationParameters
 from rl_coach.core_types import TrainingSteps, EnvironmentEpisodes, EnvironmentSteps, RunPhase
 from rl_coach.environments.doom_environment import DoomEnvironmentParameters
 from rl_coach.environments.environment import SelectedPhaseOnlyDumpMethod, MaxDumpMethod
@@ -46,5 +46,12 @@ vis_params = VisualizationParameters()
 vis_params.video_dump_methods = [SelectedPhaseOnlyDumpMethod(RunPhase.TEST), MaxDumpMethod()]
 vis_params.dump_mp4 = False
 
+########
+# Test #
+########
+preset_validation_params = PresetValidationParameters()
+preset_validation_params.trace_max_env_steps = 2000
+
 graph_manager = BasicRLGraphManager(agent_params=agent_params, env_params=env_params,
-                                    schedule_params=schedule_params, vis_params=vis_params)
+                                    schedule_params=schedule_params, vis_params=vis_params,
+                                    preset_validation_params=preset_validation_params)
diff --git a/rl_coach/tests/golden_tests.py b/rl_coach/tests/golden_tests.py
index de60370..d60ff0d 100644
--- a/rl_coach/tests/golden_tests.py
+++ b/rl_coach/tests/golden_tests.py
@@ -44,12 +44,6 @@ def read_csv_paths(test_path, filename_pattern, read_csv_tries=100):
     return csv_paths
 
 
-def clean_df(df):
-    if 'Wall-Clock Time' in df.keys():
-        df.drop(['Wall-Clock Time'], 1, inplace=True)
-    return df
-
-
 def print_progress(averaged_rewards, last_num_episodes, preset_validation_params, start_time, args):
     percentage = int((100 * last_num_episodes) / preset_validation_params.max_episodes_to_achieve_reward)
     sys.stdout.write("\rReward: ({}/{})".format(round(averaged_rewards[-1], 1),
@@ -186,94 +180,8 @@ def perform_reward_based_tests(args, preset_validation_params, preset_name):
     return test_passed
 
 
-def perform_trace_based_tests(args, preset_name, num_env_steps, level=None):
-    test_name = '__test_trace'
-    test_path = os.path.join('./experiments', test_name)
-    if path.exists(test_path):
-        shutil.rmtree(test_path)
-
-    # run the experiment in a separate thread
-    screen.log_title("Running test {}{}".format(preset_name, ' - ' + level if level else ''))
-    log_file_name = 'test_log_{preset_name}.txt'.format(preset_name=preset_name)
-
-    cmd = (
-        'python3 rl_coach/coach.py '
-        '-p {preset_name} ' 
-        '-e {test_name} '
-        '--seed 42 '
-        '-c '
-        '--no_summary '
-        '-cp {custom_param} '
-        '{level} '
-        '&> {log_file_name} '
-    ).format(
-        preset_name=preset_name,
-        test_name=test_name,
-        log_file_name=log_file_name,
-        level='-lvl ' + level if level else '',
-        custom_param='\"improve_steps=EnvironmentSteps({n});'
-                     'steps_between_evaluation_periods=EnvironmentSteps({n});'
-                     'evaluation_steps=EnvironmentSteps(1);'
-                     'heatup_steps=EnvironmentSteps(1024)\"'.format(n=num_env_steps)
-    )
-
-    p = subprocess.Popen(cmd, shell=True, executable="/bin/bash", preexec_fn=os.setsid)
-    p.wait()
-
-    filename_pattern = '*.csv'
-
-    # get the csv with the results
-    csv_paths = read_csv_paths(test_path, filename_pattern)
-
-    test_passed = False
-    if not csv_paths:
-        screen.error("csv file never found", crash=False)
-        if args.verbose:
-            screen.error("command exitcode: {}".format(p.returncode), crash=False)
-            screen.error(open(log_file_name).read(), crash=False)
-    else:
-        trace_path = os.path.join('./rl_coach', 'traces', preset_name + '_' + level.replace(':', '_') if level else preset_name, '')
-        if not os.path.exists(trace_path):
-            screen.log('No trace found, creating new trace in: {}'.format(trace_path))
-            os.makedirs(os.path.dirname(trace_path))
-            df = pd.read_csv(csv_paths[0])
-            df = clean_df(df)
-            df.to_csv(os.path.join(trace_path, 'trace.csv'), index=False)
-            screen.success("Successfully created new trace.")
-            test_passed = True
-        else:
-            test_df = pd.read_csv(csv_paths[0])
-            test_df = clean_df(test_df)
-            new_trace_csv_path = os.path.join(trace_path, 'trace_new.csv')
-            test_df.to_csv(new_trace_csv_path, index=False)
-            test_df = pd.read_csv(new_trace_csv_path)
-            trace_csv_path = glob.glob(path.join(trace_path, 'trace.csv'))
-            trace_csv_path = trace_csv_path[0]
-            trace_df = pd.read_csv(trace_csv_path)
-            test_passed = test_df.equals(trace_df)
-            if test_passed:
-                screen.success("Passed successfully.")
-                os.remove(new_trace_csv_path)
-                test_passed = True
-            else:
-                screen.error("Trace test failed.", crash=False)
-                if args.overwrite:
-                    os.remove(trace_csv_path)
-                    os.rename(new_trace_csv_path, trace_csv_path)
-                    screen.error("Overwriting old trace.", crash=False)
-                else:
-                    screen.error("bcompare {} {}".format(trace_csv_path, new_trace_csv_path), crash=False)
-
-    shutil.rmtree(test_path)
-    os.remove(log_file_name)
-    return test_passed
-
-
 def main():
     parser = argparse.ArgumentParser()
-    parser.add_argument('-t', '--trace',
-                        help="(flag) perform trace based testing",
-                        action='store_true')
     parser.add_argument('-p', '--preset',
                         help="(string) Name of a preset to run (as configured in presets.py)",
                         default=None,
@@ -295,15 +203,11 @@ def main():
     parser.add_argument('-np', '--no_progress_bar',
                         help="(flag) Don't print the progress bar (makes jenkins logs more readable)",
                         action='store_true')
-    parser.add_argument('-ow', '--overwrite',
-                        help="(flag) overwrite old trace with new ones in trace testing mode",
-                        action='store_true')
 
     args = parser.parse_args()
     if args.preset is not None:
         presets_lists = [args.preset]
     else:
-        # presets_lists = list_all_classes_in_module(presets)
         presets_lists = [f[:-3] for f in os.listdir(os.path.join('rl_coach', 'presets')) if
                          f[-3:] == '.py' and not f == '__init__.py']
 
@@ -329,26 +233,13 @@ def main():
                 continue
 
             preset_validation_params = preset.graph_manager.preset_validation_params
-            if not args.trace and not preset_validation_params.test:
+            if not preset_validation_params.test:
                 continue
 
-            if args.trace:
-                num_env_steps = preset_validation_params.trace_max_env_steps
-                if preset_validation_params.trace_test_levels:
-                    for level in preset_validation_params.trace_test_levels:
-                        test_count += 1
-                        test_passed = perform_trace_based_tests(args, preset_name, num_env_steps, level)
-                        if not test_passed:
-                            fail_count += 1
-                else:
-                    test_count += 1
-                    test_passed = perform_trace_based_tests(args, preset_name, num_env_steps)
-                    if not test_passed:
-                        fail_count += 1
-            else:
-                test_passed = perform_reward_based_tests(args, preset_validation_params, preset_name)
-                if not test_passed:
-                    fail_count += 1
+            test_count += 1
+            test_passed = perform_reward_based_tests(args, preset_validation_params, preset_name)
+            if not test_passed:
+                fail_count += 1
 
     screen.separator()
     if fail_count == 0:
@@ -358,6 +249,4 @@ def main():
 
 
 if __name__ == '__main__':
-    os.environ['DISABLE_MUJOCO_RENDERING'] = '1'
     main()
-    del os.environ['DISABLE_MUJOCO_RENDERING']
diff --git a/rl_coach/tests/trace_tests.py b/rl_coach/tests/trace_tests.py
new file mode 100644
index 0000000..b9f5647
--- /dev/null
+++ b/rl_coach/tests/trace_tests.py
@@ -0,0 +1,239 @@
+#
+# Copyright (c) 2017 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+import argparse
+import glob
+import os
+import shutil
+import subprocess
+import multiprocessing
+import sys
+from importlib import import_module
+from os import path
+sys.path.append('.')
+import pandas as pd
+import time
+
+# -*- coding: utf-8 -*-
+from rl_coach.logger import screen
+
+
+def read_csv_paths(test_path, filename_pattern, read_csv_tries=100):
+    csv_paths = []
+    tries_counter = 0
+    while not csv_paths:
+        csv_paths = glob.glob(path.join(test_path, '*', filename_pattern))
+        if tries_counter > read_csv_tries:
+            break
+        tries_counter += 1
+        time.sleep(1)
+    return csv_paths
+
+
+def clean_df(df):
+    if 'Wall-Clock Time' in df.keys():
+        df.drop(['Wall-Clock Time'], 1, inplace=True)
+    return df
+
+
+def run_trace_based_test(preset_name, num_env_steps, level=None):
+    test_name = '__test_trace_{}{}'.format(preset_name, '_' + level if level else '').replace(':', '_')
+    test_path = os.path.join('./experiments', test_name)
+    if path.exists(test_path):
+        shutil.rmtree(test_path)
+
+    # run the experiment in a separate thread
+    screen.log_title("Running test {}{}".format(preset_name, ' - ' + level if level else ''))
+    log_file_name = 'test_log_{preset_name}.txt'.format(preset_name=test_name[13:])
+
+    cmd = (
+        'python3 rl_coach/coach.py '
+        '-p {preset_name} ' 
+        '-e {test_name} '
+        '--seed 42 '
+        '-c '
+        '--no_summary '
+        '-cp {custom_param} '
+        '{level} '
+        '&> {log_file_name} '
+    ).format(
+        preset_name=preset_name,
+        test_name=test_name,
+        log_file_name=log_file_name,
+        level='-lvl ' + level if level else '',
+        custom_param='\"improve_steps=EnvironmentSteps({n});'
+                     'steps_between_evaluation_periods=EnvironmentSteps({n});'
+                     'evaluation_steps=EnvironmentSteps(1);'
+                     'heatup_steps=EnvironmentSteps(1024)\"'.format(n=num_env_steps)
+    )
+
+    p = subprocess.Popen(cmd, shell=True, executable="/bin/bash", preexec_fn=os.setsid)
+
+    return test_path, log_file_name, p
+
+
+def wait_and_check(args, processes, force=False):
+    if not force and len(processes) < args.max_threads:
+        return None
+
+    test_path = processes[0][0]
+    test_name = test_path.split('/')[-1]
+    log_file_name = processes[0][1]
+    p = processes[0][2]
+    processes.pop(0)
+    p.wait()
+
+    filename_pattern = '*.csv'
+
+    # get the csv with the results
+    csv_paths = read_csv_paths(test_path, filename_pattern)
+
+    test_passed = False
+    screen.log('Results for {}: '.format(test_name[13:]))
+    if not csv_paths:
+        screen.error("csv file never found", crash=False)
+        if args.verbose:
+            screen.error("command exitcode: {}".format(p.returncode), crash=False)
+            screen.error(open(log_file_name).read(), crash=False)
+    else:
+        trace_path = os.path.join('./rl_coach', 'traces', test_name[13:])
+        if not os.path.exists(trace_path):
+            screen.log('No trace found, creating new trace in: {}'.format(trace_path))
+            os.makedirs(os.path.dirname(trace_path))
+            df = pd.read_csv(csv_paths[0])
+            df = clean_df(df)
+            df.to_csv(os.path.join(trace_path, 'trace.csv'), index=False)
+            screen.success("Successfully created new trace.")
+            test_passed = True
+        else:
+            test_df = pd.read_csv(csv_paths[0])
+            test_df = clean_df(test_df)
+            new_trace_csv_path = os.path.join(trace_path, 'trace_new.csv')
+            test_df.to_csv(new_trace_csv_path, index=False)
+            test_df = pd.read_csv(new_trace_csv_path)
+            trace_csv_path = glob.glob(path.join(trace_path, 'trace.csv'))
+            trace_csv_path = trace_csv_path[0]
+            trace_df = pd.read_csv(trace_csv_path)
+            test_passed = test_df.equals(trace_df)
+            if test_passed:
+                screen.success("Passed successfully.")
+                os.remove(new_trace_csv_path)
+                test_passed = True
+            else:
+                screen.error("Trace test failed.", crash=False)
+                if args.overwrite:
+                    os.remove(trace_csv_path)
+                    os.rename(new_trace_csv_path, trace_csv_path)
+                    screen.error("Overwriting old trace.", crash=False)
+                else:
+                    screen.error("bcompare {} {}".format(trace_csv_path, new_trace_csv_path), crash=False)
+
+    shutil.rmtree(test_path)
+    os.remove(log_file_name)
+    return test_passed
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument('-p', '--preset',
+                        help="(string) Name of a preset to run (as configured in presets.py)",
+                        default=None,
+                        type=str)
+    parser.add_argument('-ip', '--ignore_presets',
+                        help="(string) Name of a preset(s) to ignore (comma separated, and as configured in presets.py)",
+                        default=None,
+                        type=str)
+    parser.add_argument('-v', '--verbose',
+                        help="(flag) display verbose logs in the event of an error",
+                        action='store_true')
+    parser.add_argument('--stop_after_first_failure',
+                        help="(flag) stop executing tests after the first error",
+                        action='store_true')
+    parser.add_argument('-ow', '--overwrite',
+                        help="(flag) overwrite old trace with new ones in trace testing mode",
+                        action='store_true')
+    parser.add_argument('-prl', '--parallel',
+                        help="(flag) run tests in parallel",
+                        action='store_true')
+    parser.add_argument('-mt', '--max_threads',
+                        help="(string) Name of a preset(s) to ignore (comma separated, and as configured in presets.py)",
+                        default=multiprocessing.cpu_count()-2,
+                        type=int)
+
+    args = parser.parse_args()
+    if not args.parallel:
+        args.max_threads = 1
+
+    if args.preset is not None:
+        presets_lists = [args.preset]
+    else:
+        presets_lists = [f[:-3] for f in os.listdir(os.path.join('rl_coach', 'presets')) if
+                         f[-3:] == '.py' and not f == '__init__.py']
+
+    fail_count = 0
+    test_count = 0
+    processes = []
+
+    if args.ignore_presets is not None:
+        presets_to_ignore = args.ignore_presets.split(',')
+    else:
+        presets_to_ignore = []
+    for idx, preset_name in enumerate(sorted(presets_lists)):
+        if args.stop_after_first_failure and fail_count > 0:
+            break
+        if preset_name not in presets_to_ignore:
+            try:
+                preset = import_module('rl_coach.presets.{}'.format(preset_name))
+            except:
+                screen.error("Failed to load preset <{}>".format(preset_name), crash=False)
+                fail_count += 1
+                test_count += 1
+                continue
+
+            preset_validation_params = preset.graph_manager.preset_validation_params
+            num_env_steps = preset_validation_params.trace_max_env_steps
+            if preset_validation_params.trace_test_levels:
+                for level in preset_validation_params.trace_test_levels:
+                    test_count += 1
+                    test_path, log_file, p = run_trace_based_test(preset_name, num_env_steps, level)
+                    processes.append((test_path, log_file, p))
+                    test_passed = wait_and_check(args, processes)
+                    if test_passed is not None and not test_passed:
+                        fail_count += 1
+            else:
+                test_count += 1
+                test_path, log_file, p = run_trace_based_test(preset_name, num_env_steps)
+                processes.append((test_path, log_file, p))
+                test_passed = wait_and_check(args, processes)
+                if test_passed is not None and not test_passed:
+                    fail_count += 1
+
+    while len(processes) > 0:
+        test_passed = wait_and_check(args, processes, force=True)
+        if test_passed is not None and not test_passed:
+            fail_count += 1
+
+    screen.separator()
+    if fail_count == 0:
+        screen.success(" Summary: " + str(test_count) + "/" + str(test_count) + " tests passed successfully")
+    else:
+        screen.error(" Summary: " + str(test_count - fail_count) + "/" + str(test_count) + " tests passed successfully")
+
+
+if __name__ == '__main__':
+    os.environ['DISABLE_MUJOCO_RENDERING'] = '1'
+    main()
+    del os.environ['DISABLE_MUJOCO_RENDERING']
diff --git a/rl_coach/traces/Doom_Basic_DFP/trace.csv b/rl_coach/traces/Doom_Basic_DFP/trace.csv
index 0fc47fe..cb001d2 100644
--- a/rl_coach/traces/Doom_Basic_DFP/trace.csv
+++ b/rl_coach/traces/Doom_Basic_DFP/trace.csv
@@ -64,183 +64,3 @@ Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,To
 63,1755.0,0.0,2814.0,63.0,41.0,2814.0,0.4122000000000097,-86.0,-86.0,0.0,,,,1949.386736613948,438.01420887891226,2898.2509765625,1162.8082275390625,0.0001,0.0,0.0001,0.0001,8248.635,5983.8467,27771.922000000002,1338.8822
 64,1766.0,0.0,2825.0,64.0,11.0,2825.0,0.4116500000000097,47.0,47.0,0.0,,,,2142.1350430575285,338.90633193526367,2704.8408203125,1582.5853271484375,0.0001,0.0,0.0001,0.0001,6870.5347,3548.6636,14772.337,2794.1462
 65,1841.0,0.0,2900.0,65.0,75.0,2900.0,0.4079000000000101,-345.0,-345.0,0.0,,,,2000.6128336588545,430.99328281858436,2908.90380859375,960.3004150390624,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,10136.796,5358.4326,28253.752,1138.26
-66,1916.0,0.0,2975.0,66.0,75.0,2975.0,0.40415000000001056,-335.0,-335.0,0.0,,,,2026.6920833333331,529.8637039992993,3619.700927734375,1070.4171142578123,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8430.834,5336.768,30607.21,1764.9081
-67,1951.0,0.0,3010.0,67.0,35.0,3010.0,0.4024000000000108,-67.0,-67.0,0.0,,,,1841.2743495396203,523.0806394453233,3080.92529296875,975.4871826171876,0.0001,1.3552527156068802e-20,0.0001,0.0001,10914.858999999999,5581.9185,25406.693,2296.1365
-68,2026.0,0.0,3085.0,68.0,75.0,3085.0,0.3986500000000112,-340.0,-340.0,0.0,,,,1931.1769523111982,484.47308677205046,3420.0205078125,980.9301147460938,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8593.916,4831.423,19849.654,1627.7633
-69,2101.0,0.0,3160.0,69.0,75.0,3160.0,0.3949000000000116,-345.0,-345.0,0.0,,,,1923.9647298177085,439.42036009674086,3085.549072265625,1138.4078369140625,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8419.5205,5118.085999999999,25471.596,1676.1218
-70,2104.0,0.0,3163.0,70.0,3.0,3163.0,0.3947500000000116,91.0,91.0,0.0,,,,1963.133748372396,177.5880000863903,2142.828125,1721.3369140625,0.0001,0.0,0.0001,0.0001,11553.153,6762.5264,20039.734,3491.342
-71,2179.0,0.0,3238.0,71.0,75.0,3238.0,0.391000000000012,-340.0,-340.0,0.0,,,,1881.029920247396,472.85035611123817,3133.014404296875,743.2744750976562,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8786.094000000001,4887.0664,24731.27,1773.8262
-72,2244.0,0.0,3303.0,72.0,65.0,3303.0,0.3877500000000124,-177.0,-177.0,0.0,,,,1903.962170410156,499.99813041775946,3514.205322265625,939.2587280273438,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,10310.058,5624.4259999999995,22822.584,915.6345
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