Alternatives and similar repositories for hybrid-sac

Users that are interested in hybrid-sac are comparing it to the libraries listed below

• chauncygu / Multi-Agent-Constrained-Policy-Optimisation
  Multi-Agent Constrained Policy Optimisation (MACPO; MAPPO-L).
  ☆190Updated last year
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆131Updated 7 months ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆213Updated 11 months ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆55Updated 3 years ago
• ling-pan / SD3
  ☆60Updated 4 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆52Updated 6 months ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆165Updated last year
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆105Updated 5 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆40Updated 3 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆221Updated 6 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆53Updated 3 years ago
• kantologist / multiagent-sac
  Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
  ☆38Updated 4 years ago
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆152Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆116Updated 2 years ago
• BY571 / Soft-Actor-Critic-and-Extensions
  PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…
  ☆291Updated 4 years ago
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆73Updated 6 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆143Updated last year
• cyanrain7 / TRPO-in-MARL
  ☆216Updated 2 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆121Updated 4 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆104Updated 3 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆80Updated 2 years ago
• puyuan1996 / MARL
  Implementation for mSAC methods in PyTorch
  ☆42Updated 3 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆172Updated 10 months ago
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆163Updated last year
• CORE-Robotics-Lab / MAGIC
  Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21
  ☆85Updated last year
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆60Updated 2 years ago
• liuzuxin / OSRL
  🤖 Elegant implementations of offline safe RL algorithms in PyTorch
  ☆211Updated last year