Alternatives and similar repositories for dfac

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

• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆45Updated 3 years ago
• mila-iqia / SGI
  Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)
  ☆54Updated 3 years ago
• alirezakazemipour / DIAYN-PyTorch
  Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.
  ☆68Updated last year
• SwapnilPande / MOReL
  Model-Based Offline Reinforcement Learning
  ☆50Updated 4 years ago
• apexrl / COIL
  Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"
  ☆18Updated 2 years ago
• younggyoseo / CaDM
  CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
  ☆63Updated 5 years ago
• garrett4wade / revisiting_marl
  Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)
  ☆22Updated 2 years ago
• namsan96 / SiMPL
  ☆48Updated last year
• rraileanu / idaac
  ☆53Updated last year
• ml-jku / OfflineRL
  ☆31Updated 2 years ago
• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• uoe-agents / derl
  The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)
  ☆27Updated 3 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated 2 years ago
• montrealrobotics / iv_rl
  IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
  ☆39Updated 7 months ago
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆81Updated 2 years ago
• younggyoseo / RE3
  RE3: State Entropy Maximization with Random Encoders for Efficient Exploration
  ☆68Updated 3 years ago
• tianjunz / NovelD
  ☆40Updated 3 years ago
• alirezakazemipour / PPO-RND
  Random network distillation on Montezuma's Revenge and Super Mario Bros.
  ☆50Updated last month
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago
• TonghanWang / DOP
  Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)
  ☆52Updated 2 years ago
• sfujim / LAP-PAL
  Author's PyTorch implementation of LAP and PAL with TD3 and DDQN
  ☆35Updated 3 years ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆28Updated 2 years ago
• eric-mitchell / macaw
  Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]
  ☆47Updated 2 years ago
• YYCAAA / V-MPO_Lunarlander
  Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238
  ☆47Updated 4 years ago
• twni2016 / Meta-SAC
  Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
  ☆32Updated 3 years ago
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆36Updated 4 months ago
• wendelinboehmer / dcg
  ☆76Updated last year
• shlee94 / Off2OnRL
  ☆56Updated 2 years ago