OpenRL-Lab / openrlLinks
Unified Reinforcement Learning Framework
☆733Updated 9 months ago
Alternatives and similar repositories for openrl
Users that are interested in openrl are comparing it to the libraries listed below
Sorting:
- Official implementation of HARL algorithms based on PyTorch.☆704Updated last month
- A parallel framework for population-based multi-agent reinforcement learning.☆531Updated last year
- Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.☆1,314Updated 2 years ago
- The source code for the blog post The 37 Implementation Details of Proximal Policy Optimization☆781Updated last year
- An easier PyTorch deep reinforcement learning library.☆224Updated 5 months ago
- GitHub's code repository is all you need☆350Updated 2 years ago
- ☆407Updated last year
- XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library☆869Updated this week
- ☆738Updated 2 years ago
- This is the official implementation of Multi-Agent PPO (MAPPO).☆1,576Updated 10 months ago
- basic algorithms of reinforcement learning☆210Updated last year
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆360Updated last week
- A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-par…☆985Updated 8 months ago
- One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)☆1,078Updated 6 months ago
- The repository is for safe reinforcement learning baselines.☆647Updated last month
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆459Updated 3 months ago
- ☆166Updated last year
- A collection of MARL benchmarks based on TorchRL☆404Updated 3 weeks ago
- ☆65Updated last year
- Related papers for reinforcement learning, including classic papers and latest papers in top conferences☆431Updated 2 months ago
- Implementation of benchmark RL algorithms☆467Updated 2 years ago
- Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch☆2,054Updated 10 months ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆600Updated 8 months ago
- A Massively Parallel Large Scale Self-Play Framework☆348Updated 2 years ago
- JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.☆957Updated 2 months ago
- Honor of Kings AI Open Environment of Tencent☆729Updated 10 months ago
- A collection of reference environments for offline reinforcement learning☆1,505Updated 6 months ago
- An elegant PyTorch offline reinforcement learning library for researchers.☆338Updated last year
- A comprehensive list of PAPERS, CODEBASES, and, DATASETS on Decision Making using Foundation Models including LLMs and VLMs.☆369Updated last year
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆236Updated 2 years ago