OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
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Updated
Jul 19, 2024 - Python
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Reinforced Recommendation toolkit built around pytorch 1.7
DI-engine docs (Chinese and English)
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
A high-performance Atari A3C agent in 180 lines of PyTorch
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Train an RL agent to localize actively (PyTorch)
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
A repository for implementation of deep reinforcement learning lectured at Samsung
Pytorch solutions for UC Berkeley's cs285 assignments
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
Pytorch starter code for UC Berkeley's cs285 assignments
PyTorch implementation of various reinforcement learning algorithms
PyTorch implementation of Constrained Policy Optimization
A repository for code of reinforcement learning algorithms with PyTorch
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
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