There are 7 repositories under pytorch-rl topic.
Repo for the Deep Reinforcement Learning Nanodegree program
OpenDILab Decision AI Engine
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Reinforced Recommendation toolkit built around pytorch 1.7
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
PyTorch C++ Reinforcement Learning
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
DI-engine docs (Chinese and English)
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)
Train an RL agent to localize actively (PyTorch)
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Pytorch solutions for UC Berkeley's cs285 assignments
A repository for implementation of deep reinforcement learning lectured at Samsung
Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
Pytorch starter code for UC Berkeley's cs285 assignments
A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".
Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG
PyTorch implementation of Constrained Policy Optimization
A repository for code of reinforcement learning algorithms with PyTorch
Series of deep reinforcement learning algorithms 🤖
This code is the result of the collaboration of RL Turkey team.
Implementation notebooks and scripts of Deep Reinforcement learning Algorithms in PyTorch and TensorFlow.
Dynamic Simulation Environments for Reinforcement Learning
Attentional Mechanism incorporated in Asynchronous Advantage Actor Critic a3c/a2c deep mind
An accompanying code and experiments' results for Task-Oriented Language Grounding for Language Input with Multiple Sub-Goals of Non-Linear Order
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
Virtual self driving car with reinforcement learning using Kivy & PyTorch framework.
In this project, I have tried to use DeepRL for optimizing the selection of transactions done by the miner to increase the fee when they execute a block on the chain