Alternatives and similar repositories for self-supervised-rl

Users that are interested in self-supervised-rl are comparing it to the libraries listed below

• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆78Updated 2 years ago
• chauncygu / Safe-Multi-Agent-Mujoco
  Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.
  ☆64Updated last year
• DesikRengarajan / EMRLD
  [NeurIPS 2022] Code for Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
  ☆12Updated 2 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆109Updated 4 years ago
• jqueeney / robust-safe-rl
  Robust and safe deep reinforcement learning algorithms
  ☆15Updated last year
• bitzhangcy / Safe-Deep-Reinforcement-Learning
  ☆49Updated 3 weeks ago
• oxwhirl / comix
  ☆44Updated 4 years ago
• ling-pan / OMAR
  ☆48Updated 2 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆54Updated 3 years ago
• zlr20 / saferl_kit
  ☆75Updated last year
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆87Updated last year
• ZifanWu / CAL
  Code accompanying the paper "Off-Policy Primal-Dual Safe Reinforcement Learning"
  ☆18Updated last year
• XinJingHao / SAC-Discrete-Pytorch
  A clean and robust Pytorch implementation of SAC on discrete action space
  ☆43Updated 8 months ago
• PKU-RL / CORRO
  CORRO code
  ☆35Updated 2 years ago
• dobro12 / CPO
  Constrained Policy Optimization implementation on Safety Gym
  ☆27Updated 3 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆57Updated 2 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆55Updated last year
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆86Updated 2 years ago
• MDrW / ICML2022-IRAT
  ☆39Updated 2 years ago
• xihuai18 / A2PO-ICLR2023
  Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)
  ☆29Updated 6 months ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆47Updated 2 years ago
• IouJenLiu / CMAE
  ☆49Updated 3 years ago
• ling-pan / RES
  ☆25Updated 3 years ago
• PKU-RL / I2C
  ☆44Updated 3 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆85Updated 6 years ago
• mahaitongdae / Feasible-Actor-Critic
  Code for paper Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.
  ☆20Updated 3 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago