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GitHub / gordicaleksa / pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gordicaleksa%2Fpytorch-learn-reinforcement-learning

Stars: 155
Forks: 34
Open issues: 0

License: mit
Language: Python
Size: 13.1 MB
Dependencies parsed at: Pending

Created at: about 4 years ago
Updated at: about 1 month ago
Pushed at: about 4 years ago
Last synced at: 8 days ago

Topics: deep-learning, deep-q-network, dqn, jupyter, policy-gradient, ppo, python, pytorch, pytorch-dqn, pytorch-implementation, pytorch-policy-gradient, pytorch-ppo, reinforcement-learning, reinforcement-learning-algorithms, rl

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