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215 search results found

Baselines ⭐ 14,949

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Reinforcement Learning With Tensorflow ⭐ 8,174

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

Tianshou ⭐ 7,125

An elegant PyTorch deep reinforcement learning library.

Cleanrl ⭐ 3,947

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Football ⭐ 3,177

Check out the new game server:

Deeprl ⭐ 2,834

Modularized Implementation of Deep RL Algorithms in PyTorch

Deep Reinforcement Learning With Pytorch ⭐ 2,741

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Minimalrl ⭐ 2,417

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Rl Baselines3 Zoo ⭐ 1,640

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Ppo Pytorch ⭐ 1,270

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

Slm Lab ⭐ 1,052

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

On Policy ⭐ 990

This is the official implementation of Multi-Agent PPO (MAPPO).

Batch Ppo ⭐ 919

Efficient Batched Reinforcement Learning in TensorFlow

Pytorch A3c ⭐ 768

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

Deeprl Tutorials ⭐ 726

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Super Mario Bros Ppo Pytorch ⭐ 692

Proximal Policy Optimization (PPO) algorithm for Super Mario Bros

Pytorch Rl ⭐ 638

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

Autonomous Learning Library ⭐ 616

A PyTorch library for building deep reinforcement learning agents.

Modular_rl ⭐ 523

Implementation of TRPO and related algorithms

Purejaxrl ⭐ 460

Really Fast End-to-End Jax RL Implementations

Ppo For Beginners ⭐ 427

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-w

Huskarl ⭐ 417

Deep Reinforcement Learning Framework + Algorithms

Reinforcement Learning Algorithms ⭐ 407

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)

Long-Term Evolution Project of Reinforcement Learning

Reinforcement Implementation ⭐ 380

Implementation of benchmark RL algorithms

Deep_rl ⭐ 372

PyTorch implementations of deep reinforcement learning algorithms

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Imitation Learning ⭐ 344

Imitation learning algorithms

XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

A library with extensible implementations of DPO, KTO, PPO, and other human-centered loss functions (HALOs).

Machine Learning Is All You Need ⭐ 337

🔥🌟《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!

Allenact ⭐ 288

An open source framework for research in Embodied-AI from AI2.

Xingtian ⭐ 282

xingtian is a componentized library for the development and verification of reinforcement learning algorithms

Lets Do Irl ⭐ 269

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

Reinforcement_learning ⭐ 250

Reinforcement learning tutorials

Pg_travel ⭐ 243

Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

Rlgraph ⭐ 241

RLgraph: Modular computation graphs for deep reinforcement learning

Stable Baselines ⭐ 221

Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

Tf_deep_rl_trader ⭐ 186

Trading Environment(OpenAI Gym) + PPO(TensorForce)

Reinforcement learning algorithms implemented for Tensorflow 2.0+ [DQN, DDPG, AE-DDPG, SAC, PPO, Primal-Dual DDPG]

Phasic Policy Gradient ⭐ 175

Code for the paper "Phasic Policy Gradient"

Deeprl Tensorflow2 ⭐ 139

🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Train Procgen ⭐ 134

Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"

Torch Ac ⭐ 134

Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Pytorch Dppo ⭐ 129

Pytorch implementation of Distributed Proximal Policy Optimization: https://arxiv.org/abs/1707.02286

Torchrl ⭐ 127

Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)

Doom Net Pytorch ⭐ 121

Reinforcement learning models in ViZDoom environment

Deeprl_algorithms ⭐ 112

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Samsung Drl Code ⭐ 105

A repository for implementations of deep reinforcement learning lectured at Samsung

Episodic Transformer Memory Ppo ⭐ 99

Clean baseline implementation of PPO using an episodic TransformerXL memory

Ros2learn ⭐ 98

ROS 2 enabled Machine Learning algorithms

Rl Examples ⭐ 88

Examples of published reinforcement learning algorithms in recent literature implemented in TensorFlow

Safety Starter Agents ⭐ 86

Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

Sc2aibot ⭐ 84

Implementing reinforcement-learning algorithms for pysc2 -environment

Human_aware_rl ⭐ 84

Code for "On the Utility of Learning about Humans for Human-AI Coordination"

Run Skeleton Run ⭐ 81

Reason8.ai PyTorch solution for NIPS RL 2017 challenge

Drl_local_planner_ros_stable_baselines ⭐ 73

Gail_ppo_tf ⭐ 72

Tensorflow implementation of Generative Adversarial Imitation Learning(GAIL) with discrete action

Proximal Policy Optimization implementation with TensorFlow

Explorer ⭐ 68

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Deep_rl_zoo ⭐ 65

A collection of Deep Reinforcement Learning algorithms implemented with PyTorch to solve Atari games and classic control tasks like CartPole, LunarLander, and MountainCar.

Code For Paper ⭐ 59

Mario_rl ⭐ 57

Imitation_learning ⭐ 56

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

Tensorflow_rl ⭐ 54

Learning2run ⭐ 53

Our NIPS 2017: Learning to Run source code

Model Free Algorithms ⭐ 52

TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x

Learninghumanoidwalking ⭐ 50

Training a humanoid robot for locomotion using Reinforcement Learning

Reinforcementlearning ⭐ 48

Reinforcing Your Learning of Reinforcement Learning

A novel parallel UCT algorithm with linear speedup and negligible performance loss.

Rl Experiments ⭐ 47

High-quality implementations of deep reinforcement learning algorithms for experiments

Stanford Osrl ⭐ 46

NIPS2017 challenge

Pytorch Learn Reinforcement Learning ⭐ 42

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.

Minimal Isaac Gym ⭐ 42

A Minimal Example of Isaac Gym with DQN and PPO.

Relational_deep_reinforcement_learning ⭐ 41

PyTorch implementation of Proximal Policy Optimization

Ppo Pytorch ⭐ 35

Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)

Realworldrl_suite ⭐ 35

Real-World RL Benchmark Suite

MLSys Workshop NeurIPS 2023 - Redco: A Lightweight Tool to Automate Distributed Training and Inference

Policy Optimization with Penalized Point Probability Distance: an Alternative to Proximal Policy Optimization

Pytorch Ppo ⭐ 33

Proximal Policy Optimization in PyTorch

Ppo Clip And Ppo Penalty On Atari Domain ⭐ 33

Implement PPO-clip and PPO-penalty on Atari, which is the only open source of PPO-penalty

Jax implementation of Proximal Policy Optimization (PPO) specifically tuned for Procgen, with benchmarked results and saved model weights on all environments.

A RL approach to enable cost-effective, intelligent interactions between a local agent and a remote LLM

Ppo Pytorch ⭐ 32

Proximal policy optimization in PyTorch. Easy to read and understand.

Level Replay ⭐ 32

This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the fact that not all levels are equally useful for agents to learn from during training.

Deeprl Baselines ⭐ 31

Deep reinforcement learning baselines base on OpenAI. More algorithms are included, such as Rainbow: Combining Improvements in Deep Reinforcement Learning

🪐 The Sebulba architecture to scale reinforcement learning on Cloud TPUs in JAX

Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.

Ppo Stein Control Variate ⭐ 29

Proximal Policy Optimization with Stein Control Variates:

PyRL - Reinforcement Learning Framework in Pytorch (Policy Gradient, DQN, DDPG, TD3, PPO, SAC, etc.)

A High Level Python Deep Reinforcement Learning library. Great for beginners, prototyping and quickly comparing algorithms

☔ Deep RL agents with PyTorch☔

Reinforcement_learning_with_pytorch ⭐ 27

Implement some algorithms of RL

A continuous deep reinforcement learning framework for robotics

Trading_gym ⭐ 25

a unified environment for supervised learning and reinforcement learning in the context of quantitative trading

国内第一个基于TensorFlow2.0、支持非gym环境训练、支持可视化配置的强化学习应用编程框架

Random network distillation on Montezuma's Revenge and Super Mario Bros.

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