File tree

• Reinforcement_learning_TUT
  • 10_A3C
    • A3C_RNN.py
    • A3C_continuous_action.py
    • A3C_discrete_action.py
  • 11_Dyna_Q
    • RL_brain.py
    • maze_env.py
    • run_this.py
  • 1_command_line_reinforcement_learning
    • treasure_on_right.py
  • 2_Q_Learning_maze
    • RL_brain.py
    • maze_env.py
    • run_this.py
  • 3_Sarsa_maze
    • RL_brain.py
    • maze_env.py
    • run_this.py
  • 4_Sarsa_lambda_maze
    • RL_brain.py
    • maze_env.py
    • run_this.py
  • 5.1_Double_DQN
    • RL_brain.py
    • run_Pendulum.py
  • 5.2_Prioritized_Replay_DQN
    • RL_brain.py
    • run_MountainCar.py
  • 5.3_Dueling_DQN
    • RL_brain.py
    • run_Pendulum.py
  • 5_Deep_Q_Network
    • DQN_modified.py
    • RL_brain.py
    • maze_env.py
    • run_this.py
  • 6_OpenAI_gym
    • RL_brain.py
    • run_CartPole.py
    • run_MountainCar.py
  • 7_Policy_gradient_softmax
    • RL_brain.py
    • run_CartPole.py
    • run_MountainCar.py
  • 8_Actor_Critic_Advantage
    • AC_CartPole.py
    • AC_continue_Pendulum.py
  • 9_Deep_Deterministic_Policy_Gradient_DDPG
    • DDPG.py
  • README.md
  • experiments
    • 2D_car
      • DDPG.py
      • car_env.py
      • collision.py
    • Robot_arm
      • A3C.py
      • DDPG.py
      • arm_env.py
    • Solve_BipedalWalker
      • A3C.py
      • A3C_rnn.py
      • DDPG.py
    • Solve_LunarLander
      • A3C.py
      • DuelingDQNPrioritizedReplay.py
      • run_LunarLander.py