wassname/DeepRL

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T

Shangtong Zhang b55e190512 N-Step Q-Learning and One-Step Sarsa

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.gitignore

Refactor interfaces

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async_agent.py

N-Step Q-Learning and One-Step Sarsa

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bootstrap.py

N-Step Q-Learning and One-Step Sarsa

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dqn_agent.py

Update Readme

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LICENSE

Initial commit

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main.py

N-Step Q-Learning and One-Step Sarsa

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network.py

Refactor APIs

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policy.py

threading

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README.md

N-Step Q-Learning and One-Step Sarsa

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replay.py

Add copyright declaration

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task.py

Update Readme

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README.md

DeepRL

Highly modularized implementation of popular deep RL algorithms powered by PyTorch

Deep Q-Learning
Asynchronous One-Step Q-Learning
Asynchronous One-Step Sarsa
Asynchronous N-Step Q-Learning

Benchmarked by classical control tasks (CartPole, LunarLander). Atari games will make it difficult to replicate in a regular laptop without a good GPU. However it's fairly easy to adapt the components to fit Atari games.

Try it out from main.py!