chauncygu / Safe-Reinforcement-Learning-BaselinesLinks
The repository is for safe reinforcement learning baselines.
☆670Updated last week
Alternatives and similar repositories for Safe-Reinforcement-Learning-Baselines
Users that are interested in Safe-Reinforcement-Learning-Baselines are comparing it to the libraries listed below
Sorting:
- NeurIPS 2023: Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark☆479Updated 5 months ago
- NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms☆373Updated last year
- Official implementation of HARL algorithms based on PyTorch.☆747Updated 3 months ago
- DSAC-v2; DSAC-T; DASC; Distributional Soft Actor-Critic☆387Updated 3 weeks ago
- An extension of the PyMARL codebase that includes additional algorithms and environment support☆616Updated 10 months ago
- Multi-Objective Reinforcement Learning algorithms implementations.☆411Updated last week
- An elegant PyTorch offline reinforcement learning library for researchers.☆352Updated 3 weeks ago
- Multi-Agent Reinforcement Learning (MARL) papers☆267Updated 2 years ago
- ☆422Updated last year
- PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.☆491Updated 2 years ago
- General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning solver package for industrial control.☆266Updated 2 weeks ago
- BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…☆442Updated last week
- Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.☆435Updated 2 years ago
- A plotter for reinforcement learning (RL)☆227Updated 3 years ago
- 🚀 A fast safe reinforcement learning library in PyTorch☆204Updated 10 months ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆555Updated 3 years ago
- A Collection of Multi-Agent Reinforcement Learning (MARL) Resources☆241Updated 2 years ago
- Multi-Agent Reinforcement Learning (MARL) papers with code☆381Updated 2 years ago
- Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL☆366Updated 3 years ago
- ☆214Updated 2 years ago
- Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).☆181Updated last year
- Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.☆357Updated 2 years ago
- A clean and robust Pytorch implementation of PPO on continuous action space.☆158Updated last year
- ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…☆173Updated 2 years ago
- Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-C…☆639Updated 3 years ago
- PyTorch Implementation of MADDPG (Lowe et. al. 2017)☆643Updated 5 years ago
- Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"☆219Updated 6 years ago
- DRLib：a Concise Deep Reinforcement Learning Library, Integrating HER, PER and D2SR for Almost Off-Policy RL Algorithms.☆554Updated last year
- DSAC; Distributional Soft Actor-Critic☆129Updated 5 months ago
- Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment☆377Updated 10 months ago