Alternatives and similar repositories for SAC:

Users that are interested in SAC are comparing it to the libraries listed below

• zhihanyang2022 / off-policy-continuous-control
  Official PyTorch code for "Recurrent Off-policy Baselines for Memory-based Continuous Control" (DeepRL Workshop, NeurIPS 21)
  ☆83Updated last year
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆82Updated last year
• ZhongZ-Wang / Model-Based-RL
  这是一个关于基于模型的强化学习的资料，包括一些代码地址、paper、slide等。
  ☆41Updated 4 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆64Updated last year
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆100Updated 3 years ago
• akjayant / PPO_Lagrangian_PyTorch
  Implementation of PPO Lagrangian in PyTorch
  ☆37Updated 2 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆58Updated 4 years ago
• dnandha / mopac
  Model Predictive Actor-Critic Reinforcement Learning
  ☆59Updated 3 years ago
• xtma / dsac
  Distributional Soft Actor Critic
  ☆51Updated 4 years ago
• Jingliang-Duan / DSAC-v1
  DSAC; Distributional Soft Actor-Critic
  ☆125Updated 3 weeks ago
• hejia-zhang / awesome-model-based-reinforcement-learning
  A curated list of awesome Model-based reinforcement learning resources
  ☆92Updated 4 years ago
• mit-gfx / PGMORL
  [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
  ☆103Updated 4 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆38Updated 4 years ago
• MarcoMeter / recurrent-ppo-truncated-bptt
  Baseline implementation of recurrent PPO using truncated BPTT
  ☆137Updated 10 months ago
• BellmanTimeHut / DIPO
  ☆91Updated last year
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆40Updated 2 years ago
• Valarzz / DLPA
  ☆19Updated 9 months ago
• MahanFathi / Model-Based-RL
  Model-based Policy Gradients
  ☆31Updated 4 years ago
• uoe-agents / robotic-warehouse
  Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
  ☆64Updated 5 months ago
• datvodinh / recurrent-ppo
  A Reinforcement Learning Project using PPO + LSTM
  ☆61Updated last year
• TakuyaHiraoka / Dropout-Q-Functions-for-Doubly-Efficient-Reinforcement-Learning
  Source files to replicate experiments in my ICLR 2022 paper.
  ☆69Updated 8 months ago
• Felhof / DiscreteSAC
  ☆40Updated 3 years ago
• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆94Updated 4 years ago
• kantologist / multiagent-sac
  Implementation of centralized training, centralized execution of Soft Actor-Critic (SAC) on a Tennis multiagent Unity environment.
  ☆34Updated 3 years ago
• schneimo / ddpg-pytorch
  PyTorch implementation of DDPG for continuous control tasks.
  ☆46Updated 5 years ago
• LucasCJYSDL / HierAIRL
  A novel Hierarchical Imitation Learning algorithm based on AIRL.
  ☆21Updated last year
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• BY571 / SAC_discrete
  PyTorch implementation of the discrete Soft-Actor-Critic algorithm.
  ☆49Updated 3 years ago
• liuzuxin / cvpo-safe-rl
  Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)
  ☆69Updated last year
• AlgTUDelft / WCSAC
  Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"
  ☆53Updated last year