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06-results

06-results

 
 

07-results

07-results

 
 

_tmp/pingpong_simple

_tmp/pingpong_simple

 
 

doc

doc

 
 

result

result

 
 

.gitignore

.gitignore

 
 

00_play_cartpole.py

00_play_cartpole.py

 
 

01_random_play.py

01_random_play.py

 
 

02_simple_update.py

02_simple_update.py

 
 

03_discounted_reward.py

03_discounted_reward.py

 
 

04_discounted_reward_exploit_explore.py

04_discounted_reward_exploit_explore.py

 
 

05_Q-Net.py

05_Q-Net.py

 
 

06_DQN.py

06_DQN.py

 
 

07_policy_gradient.py

07_policy_gradient.py

 
 

DQN.py

DQN.py

 
 

README.md

README.md

 
 

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cartpole game with reinforcement learning

  • Source:

  • Task:

  • Experiment:

    • 00 - Play cartpole!
    • 01 - Random play
    • 02 - Simple update
    • 03 - Discounted reward
    • 04 - Exploit-Exploration (w/e-greedy)
    • 05 - Q-Net (Neural Net)
    • 06 - Deep Q-Net

  • Requirements:

    • Install OpenAI gym

  • Results:

    • 00 - Play cartpole! 00
    • 01 - Random play 01
    • 02 - Simple update 02
    • 03 - Discounted reward 03
    • 04 - Exploit-Exploration (w/e-greedy) 04
    • 05 - Q-Net (Neural Net) 05
    • 06 - Deep Q-Net 06
    • 07 - Policy Gradient 07

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Simple task of cartpole game using reinforcement learning

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