Alternatives and similar repositories for derl:

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

• Neo-X / SMiRL_Code
  ☆18Updated 2 years ago
• garrett4wade / revisiting_marl
  Official codebase for paper "Revisiting Some Common Practices in Cooperative Multi-Agent Reinforcement Learning" (ICML22)
  ☆21Updated 2 years ago
• apexrl / CoDAIL
  Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
  ☆18Updated 3 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆26Updated 2 years ago
• gwthomas / Safe-MBPO
  Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"
  ☆43Updated 2 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 3 years ago
• jesbu1 / hidio
  Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options
  ☆44Updated 3 years ago
• hari-sikchi / LOOP
  Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]
  ☆36Updated 2 years ago
• yuchen-x / MacroMARL
  ☆21Updated 9 months ago
• eugenevinitsky / robust_RL_multi_adversary
  We investigate the effect of populations on finding good solutions to the robust MDP
  ☆28Updated 3 years ago
• rraileanu / idaac
  ☆54Updated 11 months ago
• tedmoskovitz / TOP
  Implementation of Tactical Optimistic and Pessimistic value estimation
  ☆25Updated last year
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆42Updated 5 years ago
• shlee94 / Off2OnRL
  ☆54Updated 2 years ago
• rmst / rlrd
  PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)
  ☆39Updated 2 years ago
• sisl / DICG
  Deep Implicit Coordination Graphs
  ☆41Updated 8 months ago
• deep-skill-chaining / deep-skill-chaining
  Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"
  ☆28Updated 5 years ago
• jiayu-ch15 / Variational-Automatic-Curriculum-Learning
  curriculum
  ☆20Updated 2 years ago
• martius-lab / HiTS
  Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021
  ☆31Updated 2 years ago
• uoe-agents / MATE
  Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning
  ☆12Updated 9 months ago
• sparkmxy / my-offlinerl
  ☆22Updated 2 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
• twni2016 / Memory-RL
  When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)
  ☆60Updated last year
• thu-rllab / CFCQL
  Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.
  ☆32Updated 7 months ago
• Ji4chenLi / Multi-Task-Batch-RL
  ☆26Updated last year
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆23Updated 2 years ago
• IouJenLiu / CMAE
  ☆47Updated 3 years ago
• junsu-kim97 / HIGL
  PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).
  ☆28Updated 3 years ago
• QData / dmc_remastered
  A version of the DeepMind Control Suite with randomly generated graphics, for measuring visual generalization in continuous control.
  ☆18Updated 4 years ago
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆21Updated last year