Alternatives and similar repositories for safety-gymnasium

Users that are interested in safety-gymnasium are comparing it to the libraries listed below

• PKU-Alignment / Safe-Policy-Optimization
  NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms
  ☆394Updated last year
• yihaosun1124 / OfflineRL-Kit
  An elegant PyTorch offline reinforcement learning library for researchers.
  ☆382Updated 6 months ago
• chauncygu / Safe-Reinforcement-Learning-Baselines
  The repository is for safe reinforcement learning baselines.
  ☆758Updated last week
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆235Updated last year
• schroederdewitt / multiagent_mujoco
  Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.
  ☆366Updated 2 years ago
• openai / safety-starter-agents
  Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.
  ☆455Updated 2 years ago
• gxywy / rl-plotter
  A plotter for reinforcement learning (RL)
  ☆235Updated 4 years ago
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆231Updated last year
• PKU-MARL / Multi-Agent-Transformer
  ☆477Updated 2 years ago
• sfujim / TD3_BC
  Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
  ☆390Updated 4 years ago
• oxwhirl / smacv2
  ☆291Updated last year
• uoe-agents / epymarl
  An extension of the PyMARL codebase that includes additional algorithms and environment support
  ☆674Updated last year
• facebookresearch / BenchMARL
  BenchMARL is a library for benchmarking Multi-Agent Reinforcement Learning (MARL). BenchMARL allows to quickly compare different MARL alg…
  ☆557Updated 2 months ago
• TimeBreaker / Multi-Agent-Reinforcement-Learning-papers
  Multi-Agent Reinforcement Learning (MARL) papers
  ☆287Updated 3 years ago
• cyanrain7 / TRPO-in-MARL
  ☆222Updated 2 years ago
• PKU-MARL / HARL
  Official implementation of HARL algorithms based on PyTorch.
  ☆850Updated 9 months ago
• denisyarats / pytorch_sac
  PyTorch implementation of Soft Actor-Critic (SAC)
  ☆585Updated 4 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆208Updated last year
• AboudyKreidieh / h-baselines
  A repository of high-performing hierarchical reinforcement learning models and algorithms.
  ☆332Updated 2 years ago
• Ericonaldo / ILSwiss
  ILSwiss is an Easy-to-run Imitation Learning (IL, or Learning from Demonstration, LfD) and also Reinforcement Learning (RL) framework (te…
  ☆176Updated 2 years ago
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆219Updated last year
• LucasAlegre / morl-baselines
  Multi-Objective Reinforcement Learning algorithms implementations.
  ☆486Updated 3 weeks ago
• twni2016 / pomdp-baselines
  Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
  ☆341Updated last year
• instadeepai / og-marl
  Datasets with baselines for Offline MARL.
  ☆201Updated 2 months ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆183Updated 3 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆132Updated 3 years ago
• Farama-Foundation / MO-Gymnasium
  Multi-objective Gymnasium environments for reinforcement learning
  ☆365Updated last month
• aviralkumar2907 / CQL
  Code for conservative Q-learning
  ☆470Updated 4 years ago
• semitable / lb-foraging
  Level-based Foraging (LBF): A multi-agent environment for RL
  ☆202Updated last year
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago