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Release 0.9
Main changes are detailed below: New features - * CARLA 0.7 simulator integration * Human control of the game play * Recording of human game play and storing / loading the replay buffer * Behavioral cloning agent and presets * Golden tests for several presets * Selecting between deep / shallow image embedders * Rendering through pygame (with some boost in performance) API changes - * Improved environment wrapper API * Added an evaluate flag to allow convenient evaluation of existing checkpoints * Improve frameskip definition in Gym Bug fixes - * Fixed loading of checkpoints for agents with more than one network * Fixed the N Step Q learning agent python3 compatibility
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@@ -15,13 +15,16 @@
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#
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from logger import *
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from utils import Enum
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from utils import Enum, get_open_port
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from environments.gym_environment_wrapper import *
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from environments.doom_environment_wrapper import *
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from environments.carla_environment_wrapper import *
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class EnvTypes(Enum):
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Doom = "DoomEnvironmentWrapper"
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Gym = "GymEnvironmentWrapper"
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Carla = "CarlaEnvironmentWrapper"
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def create_environment(tuning_parameters):
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