/RLexample

Some basic examples of playing with RL

Primary LanguagePython

Some basic examples for reinforcement learning

Installing Anaconda and OpenAI gym

  • Download and install Anaconda here
  • Install OpenAI gym
pip install gym[all]==0.18.0

Examples

  • Play with the environment
import gym
env = gym.make('CartPole-v0')
env.reset()
for _ in range(1000):
    env.render()
    env.step(env.action_space.sample()) # take a random action
env.close()
  • Random play with CartPole-v0
import gym
env = gym.make('CartPole-v0')
for i_episode in range(20):
    observation = env.reset()
    for t in range(100):
        env.render()
        print(observation)
        action = env.action_space.sample()
        observation, reward, done, info = env.step(action)
env.close()
  • Example code for random playing (Pong-ram-v0,Acrobot-v1,Breakout-v0)
python my_random_agent.py Pong-ram-v0
  • Very naive learnable agent playing CartPole-v0 or Acrobot-v1
python my_learning_agent.py CartPole-v0

  • Playing Pong on CPU (with a great blog). One pretrained model is pong_model_bolei.p(after training 20,000 episodes), which you can load in by replacing save_file in the script.
python pg-pong.py

  • Random navigation agent in AI2THOR
python navigation_agent.py