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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
Deep Reinforcement Learning with pytorch & visdom
Python library for Reinforcement Learning.
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are still in progress)
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
PyTorch implementation of deep reinforcement learning algorithms
PyTorch implementation of Trust Region Policy Optimization
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
Tensorflow implementation of generative adversarial imitation learning
ROS 2 enabled Machine Learning algorithms
Implementations of deep RL papers and random experimentation
Reason8.ai PyTorch solution for NIPS RL 2017 challenge
Basic reinforcement learning algorithms. Including:DQN,Double DQN, Dueling DQN, SARSA, REINFORCE, baseline-REINFORCE, Actor-Critic,DDPG,DDPG for discrete action space, A2C, A3C, TD3, SAC, TRPO
High-quality implementations of deep reinforcement learning algorithms for experiments
PyTorch implementation of Constrained Policy Optimization
road-map & paper review for Reinforcement Learning
The implement of the policy gradient RL algorithm with pytorch
Mirror Descent Policy Optimization
Code snippets of Meta Reinforcement Learning algorithms
[ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
Pytorch implementations of various Deep Reinforcement Learning algorithms on pybullet environments.
Deep Reinforcement Learning for Trading
Trust Region Policy Optimization (TRPO) in pure TensorFlow
Reinforcement Learning for quadrotor trajectory planning and control