Alternatives and similar repositories for Step-Wise_SafeRL_Pixel

Users that are interested in Step-Wise_SafeRL_Pixel are comparing it to the libraries listed below

• zlr20 / saferl_kit
  ☆75Updated last year
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆80Updated 2 years ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆209Updated 10 months ago
• liuzuxin / DSRL
  🔥 Datasets and env wrappers for offline safe reinforcement learning
  ☆98Updated 11 months ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆65Updated last year
• jqueeney / robust-safe-rl
  Robust and safe deep reinforcement learning algorithms
  ☆15Updated last year
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆208Updated 11 months ago
• jjyyxx / srlnbc
  Model-Free Safe Reinforcement Learning through Neural Barrier Certificate
  ☆40Updated last year
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• ZhengYinan-AIR / FISOR
  [ICLR 2024] The official implementation of "Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model"
  ☆108Updated 6 months ago
• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆45Updated last year
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆59Updated 2 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆70Updated 2 years ago
• SvenGronauer / RL-Safety-Algorithms
  Implementations of safe reinforcement learning algorithms
  ☆28Updated last year
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated 8 months ago
• bitzhangcy / Safe-Deep-Reinforcement-Learning
  ☆53Updated last month
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆43Updated 9 months ago
• junming-yang / mopo
  Model-based Offline Policy Optimization re-implement all by pytorch
  ☆36Updated last year
• ling-pan / OMAR
  ☆50Updated 3 years ago
• liyc-ai / RL-pytorch
  A beginner-friendly repository on Deep Reinforcement Learning (RL), written in PyTorch.
  ☆26Updated 3 weeks ago
• morning9393 / HAPPO-HATRPO
  ☆42Updated 3 years ago
• ZhengYinan-AIR / OMIGA
  [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…
  ☆37Updated last year
• mahaitongdae / Reachability_Constrained_RL
  Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.
  ☆37Updated 3 years ago
• Plankson / CSIRL
  [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning
  ☆15Updated 2 years ago
• abukharin3 / ERNIE
  Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…
  ☆26Updated last year
• TJU-DRL-LAB / self-supervised-rl
  ☆41Updated 3 years ago
• zbzhu99 / madiff
  Implementation of "MADiff: Offline Multi-agent Learning with Diffusion Models"
  ☆78Updated 2 months ago
• wenchiyang / pls
  ☆13Updated last year
• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆182Updated last year
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆50Updated 2 years ago