reinforcement_learning
Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
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최종 버전 다운로드 (.zip)- a3c_acrobot.png
- a3c_cartpole_el0.png
- a3c_cartpole_el001.png
- mountaincar_el1.png
- mountaincar_tmax15_el1.png
- ac_net.py
- acrobot_a3c.py
- cartpole_a3c.py
- mountaincar_a3c.py
- README.md
- tf_utils.py
- worker.py
- ddpg_plot.png
- actor.py
- critic.py
- ddpg.py
- exp_replay.py
- mountaincar_ddpg.py
- ou.py
- pendulum_ddpg.py
- README.md
- tf_utils.py
- __init__.py
- policy_iteration.py
- test_policy_iteration.py
- test_value_iteration.py
- value_iteration.py
- dqn_cartpole_training.png
- cartpole_dqn.py
- dqn.py
- exp_replay.py
- README.md
- test_exp_replay.py
- tf_utils.py
- __init__.py
- env.py
- gridworld.py
- mdp.py
- test_gridworld.py
- breakout10.gif
- monte_carlo.py
- test_monte_carlo.py
- a3c.pdf
- AlphaGoNaturePaper.pdf
- browne_mcts_survey_ieee12.pdf
- ddpg.pdf
- ddqn.pdf
- dpg_silver14.pdf
- dqn.pdf
- dqn_nature.pdf
- drl_bench_mark2016.pdf
- dueling_dqn.pdf
- GAN.pdf
- learn2rl.pdf
- Learning2learn_by_GD_by_GD.pdf
- cartpole_reinforce.png
- cartpole_reinforce_w_baseline.png
- cartpole_reinforce.py
- cartpole_reinforce_baseline.py
- README.md
- reinforce.py
- reinforce_w_baseline.py
- tf_utils.py
- __init__.py
- cartpole_qlearning.py
- qlearning.py
- test_qlearning.py
- .gitignore
- LICENSE
- README.md
- requirements.txt
// repository documentation
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