rl_gym

Reinforcement Learning for Games

This example implements three RL algorithms for the Cartpole game based on the OpenAI Gym environment:

• pg_cartpole.py uses Policy Gradient
• dqn_cartpole.py uses Deep-Q
• ac_cartpole.py uses Actor-critic

The example is for demonstrating the Texar RL APIs (for games), and only implements the most basic versions of respective algorithms.

Usage

Run the following cmd to start training:

python pg_cartpole.py --config config 
python dqn_cartpole.py --config config 
python ac_cartpole.py --config config