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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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4
rl_coach/exploration_policies/truncated_normal.py
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@@ -20,7 +20,7 @@ import numpy as np
from scipy.stats import truncnorm
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 ExplorationParameters, ContinuousActionExplorationPolicy
from rl_coach.schedules import Schedule, LinearSchedule
from rl_coach.spaces import ActionSpace, BoxActionSpace
@@ -38,7 +38,7 @@ class TruncatedNormalParameters(ExplorationParameters):
return 'rl_coach.exploration_policies.truncated_normal:TruncatedNormal'
class TruncatedNormal(ExplorationPolicy):
class TruncatedNormal(ContinuousActionExplorationPolicy):
"""
The TruncatedNormal exploration policy is intended for continuous action spaces. It samples the action from a
normal distribution, where the mean action is given by the agent, and the standard deviation can be given in t