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).
  ☆205Updated last year
• liuzuxin / FSRL
  🚀 A fast safe reinforcement learning library in PyTorch
  ☆224Updated last year
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆133Updated 9 months ago
• Felhof / DiscreteSAC
  ☆40Updated 4 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆112Updated 4 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
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆122Updated 5 years ago
• toshikwa / soft-actor-critic.pytorch
  PyTorch implementation of Soft Actor-Critic(SAC).
  ☆105Updated 5 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆54Updated 4 years ago
• Jonathan-Pearce / DDPG_PER
  Implementation of Deep Deterministic Policy Gradient (DDPG) with Prioritized Experience Replay (PER)
  ☆54Updated 8 months ago
• cycraig / MP-DQN
  Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"
  ☆222Updated 6 years ago
• ling-pan / SD3
  ☆61Updated 5 years ago
• kevslinger / DTQN
  Deep Transformer Q-Networks for Partially Observable Reinforcement Learning
  ☆171Updated last year
• TJU-DRL-LAB / self-supervised-rl
  ☆43Updated 3 years ago
• SapanaChaudhary / PyTorch-CPO
  PyTorch implementation of Constrained Policy Optimization
  ☆56Updated 4 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆81Updated 2 years ago
• chrisyrniu / Recent-Advances-in-Multi-Agent-Reinforcement-Learning
  A collection of recent MARL papers
  ☆98Updated last year
• XinJingHao / PPO-Continuous-Pytorch
  A clean and robust Pytorch implementation of PPO on continuous action space.
  ☆166Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆125Updated 2 years ago
• oxwhirl / facmac
  ☆107Updated 4 years ago
• toshikwa / gail-airl-ppo.pytorch
  PyTorch implementation of GAIL and AIRL based on PPO.
  ☆229Updated 5 years ago
• sfujim / TD3_BC
  Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL
  ☆376Updated 3 years ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆83Updated 3 years ago
• hcnoh / gail-pytorch
  A simple implementation of Generative Adversarial Imitation Learning with PyTorch
  ☆170Updated 3 years ago
• jianzhnie / deep-marl-toolkit
  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT..…
  ☆147Updated last year
• AgrawalAmey / safe-explorer
  Pytorch implementation of "Safe Exploration in Continuous Action Spaces" [Dalal et al.]
  ☆73Updated 6 years ago
• kantologist / multiagent-sac
  Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
  ☆39Updated 4 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆87Updated 6 years ago
• alirezakazemipour / Discrete-SAC-PyTorch
  PyTorch implementation of discrete version of Soft Actor-Critic.
  ☆36Updated 4 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆174Updated last year