GitHub - zmonoid/Deep_Reinforcement_Learning: Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc

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Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
A3C_advantage_async_actor_critic.py		A3C_advantage_async_actor_critic.py
DDPG_deep_deterministic_policy_gradient.py		DDPG_deep_deterministic_policy_gradient.py
DDQN_double_dqn.py		DDQN_double_dqn.py
DQN.py		DQN.py
NAF_normalized_advantage_function.py		NAF_normalized_advantage_function.py
OPDAC_off_policy_deterministic_actor_critic.py		OPDAC_off_policy_deterministic_actor_critic.py
SAC_stochastic_actor_critic.py		SAC_stochastic_actor_critic.py
TRPO_trust_region_policy_optimization.py		TRPO_trust_region_policy_optimization.py
common.py		common.py
filter_env.py		filter_env.py
n_step_DQN.py		n_step_DQN.py
one_step_DQN.py		one_step_DQN.py
run.py		run.py

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Series Algorithms of Deep Reinforcement Learning, such as DQN, DDQN, one-step-DQN, DDPG, etc

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