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).
  ☆182Updated last year
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆54Updated 3 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆130Updated 6 months ago
• thomashirtz / gym-hybrid
  Collection of OpenAI parametrized action-space environments.
  ☆65Updated 5 months ago
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆209Updated 11 months ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆111Updated 4 years ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆41Updated 3 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…
  ☆290Updated 4 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆105Updated 5 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 3 years ago
• MDrW / ICML2022-IRAT
  ☆39Updated 3 years ago
• chrisyrniu / Recent-Advances-in-Multi-Agent-Reinforcement-Learning
  A collection of recent MARL papers
  ☆96Updated 9 months ago
• cyanrain7 / TRPO-in-MARL
  ☆215Updated 2 years ago
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆165Updated last year
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆104Updated 3 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆55Updated 3 years ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆219Updated 6 years ago
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆152Updated last year
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆142Updated last year
• oxwhirl / facmac
  ☆102Updated 3 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 6 years ago
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆115Updated 2 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆80Updated 2 years ago
• oxwhirl / wqmix
  Code for Weighted QMIX
  ☆138Updated 4 years ago
• hijkzzz / noisy-mappo
  Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)
  ☆68Updated 2 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆121Updated 4 years ago
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• uoe-agents / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆70Updated 11 months ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago