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Train an AI agent to play entire SuperMarioBros game (All 32 stages)
A continuous action space version of A3C LSTM in pytorch plus A3G design
An End-To-End, Lightweight and Flexible Platform for Game Research
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
A Neural Net Training Interface on TensorFlow, with focus on speed flexibility
A3C LSTM Atari with Pytorch plus A3G design
Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.
A toolkit for developing and comparing reinforcement learning algorithms.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".