RL Toolkit is a collection of RL algorithms written in PyTorch & NumPy.
| Algorithm | Environment | Framework |
|---|---|---|
| Q Table | Frozen Lake | NumPy |
| DQN | CartPole | PyTorch |
| Dueling DQN | CartPole | PyTorch |
| Reinforce/VPG | CartPole | PyTorch |
| A2C | CartPole | PyTorch |
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Implementation of core reinforcement learning algorithms with PyTorch
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ethanmclark1/rl_toolkit
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Implementation of core reinforcement learning algorithms with PyTorch