Alternatives and similar repositories for SAC-discrete

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

• ac-93 / soft-actor-critic
  Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.
  ☆96Updated 5 years ago
• gouxiangchen / soft-Q-learning
  discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!
  ☆56Updated 2 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆59Updated 3 years ago
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆130Updated 11 months ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆103Updated 3 years ago
• MadryLab / implementation-matters
  ☆132Updated 11 months ago
• adik993 / ppo-pytorch
  Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)
  ☆142Updated 6 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆41Updated 5 years ago
• cyoon1729 / Policy-Gradient-Methods
  Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
  ☆99Updated 5 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 6 years ago
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆170Updated 8 months ago
• aviralkumar2907 / BEAR
  Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
  ☆161Updated 5 years ago
• andrew-j-levy / Hierarchical-Actor-Critc-HAC-
  This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.
  ☆259Updated 5 years ago
• kandouss / marlgrid
  Gridworld for MARL experiments
  ☆141Updated 4 years ago
• Farama-Foundation / D4RL-Evaluations
  ☆199Updated 2 years ago
• TonghanWang / ROMA
  Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)
  ☆160Updated 2 years ago
• chanb / metalearning_RL
  ☆20Updated 2 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 5 years ago
• wjh720 / QPLEX
  ☆97Updated 4 years ago
• nikhilbarhate99 / Hierarchical-Actor-Critic-HAC-PyTorch
  PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
  ☆318Updated 3 years ago
• wendelinboehmer / dcg
  ☆76Updated last year
• ermongroup / multiagent-gail
  ☆84Updated 6 years ago
• BY571 / CQL
  PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and co…
  ☆137Updated last year
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆51Updated 2 months ago
• lucaslingle / pytorch_rl2
  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'
  ☆64Updated 3 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆171Updated 3 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆69Updated last year
• toshikwa / sac-discrete.pytorch
  PyTorch implementation of SAC-Discrete.
  ☆307Updated 11 months ago
• wsjeon / maddpg-rllib
  MADDPG in Ray/RLlib
  ☆54Updated 5 years ago
• schatty / oprl
  A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing
  ☆134Updated last week