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GitHub / lcswillems / torch-ac

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

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Stars: 185
Forks: 64
Open Issues: 6

License: mit
Language: Python
Repo Size: 23.4 KB
Dependencies: 2

Created: about 5 years ago
Updated: 26 days ago
Last pushed: over 1 year ago
Last synced: 26 days ago

Topics: a2c, a3c, actor-critic, advantage-actor-critic, deep-reinforcement-learning, minigrid, multi-process, ppo, proximal-policy-optimization, pytorch, recurrent, recurrent-neural-networks, reinforcement-learning, reward-shaping

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    Dependencies
    setup.py pypi