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Create a dataset using an agent (#306)

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Generate a dataset using an agent (allowing to select between this and a random dataset)
This commit is contained in:
Gal Leibovich
2019-05-28 09:34:49 +03:00
committed by GitHub
parent 342b7184bc
commit 9e9c4fd332
26 changed files with 351 additions and 111 deletions
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7
rl_coach/exploration_policies/additive_noise.py
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@@ -17,14 +17,17 @@
from typing import List
import numpy as np
import scipy.stats
from rl_coach.core_types import RunPhase, ActionType
from rl_coach.exploration_policies.exploration_policy import ExplorationPolicy, ExplorationParameters
from rl_coach.exploration_policies.exploration_policy import ContinuousActionExplorationPolicy, ExplorationParameters
from rl_coach.schedules import Schedule, LinearSchedule
from rl_coach.spaces import ActionSpace, BoxActionSpace
# TODO: consider renaming to gaussian sampling
class AdditiveNoiseParameters(ExplorationParameters):
def __init__(self):
super().__init__()
@@ -36,7 +39,7 @@ class AdditiveNoiseParameters(ExplorationParameters):
return 'rl_coach.exploration_policies.additive_noise:AdditiveNoise'
class AdditiveNoise(ExplorationPolicy):
class AdditiveNoise(ContinuousActionExplorationPolicy):
"""
AdditiveNoise is an exploration policy intended for continuous action spaces. It takes the action from the agent
and adds a Gaussian distributed noise to it. The amount of noise added to the action follows the noise amount that