Alternatives and similar repositories for Trust-Region-Methods-in-Multi-Agent-Reinforcement-Learning

Users that are interested in Trust-Region-Methods-in-Multi-Agent-Reinforcement-Learning are comparing it to the libraries listed below

• Amanda2024 / CARE-SMAC-MA_SAC
  Multi-task Multi-agent Soft Actor Critic for SMAC
  ☆12Updated 3 years ago
• matrl-project / matrl
  ☆12Updated 4 years ago
• thomyphan / resilient-marl
  Resilient Multi-Agent Reinforcement Learning
  ☆10Updated 2 years ago
• thu-rllab / SOG
  Code for NeurIPS paper "Self-Organized Group for Cooperative Multi-agentReinforcement Learning".
  ☆21Updated 2 years ago
• tesslerc / ActionRobustRL
  Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…
  ☆44Updated 6 years ago
• AlgTUDelft / AlwaysSafe
  Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"
  ☆17Updated 3 years ago
• danielwillemsen / MAMBPO
  DecentralizedLearning
  ☆24Updated 2 years ago
• uoe-agents / seps
  Official Repository for "Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing" (ICML2021)
  ☆21Updated 3 years ago
• sjtu-marl / bd_rd_psro
  Code for Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games
  ☆20Updated 3 years ago
• DRL-CASIA / Deep-Reinforcement-Learning
  ☆17Updated 4 years ago
• jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles
  ☆15Updated 5 years ago
• shariqiqbal2810 / ALMA
  Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022
  ☆29Updated 2 years ago
• adithya-subramanian / Multi_Agent_Soft_Actor_Critic
  A Pytorch Implementation of Multi Agent Soft Actor Critic
  ☆40Updated 6 years ago
• zisikons / deep-rl
  Deep Learning (FS 2020)
  ☆17Updated 2 years ago
• Amanda2024 / GCS_aamas337
  The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》
  ☆41Updated 3 years ago
• morning9393 / Optimal-Baseline-for-Multi-agent-Policy-Gradients
  ☆28Updated 3 years ago
• bellmanequation / LSC
  Code for "Learning Structured Communication for Multi-Agent Reinforcement Learning" (ICLR 2020 OpenReview)
  ☆9Updated 2 years ago
• jqueeney / geppo
  Generalized Proximal Policy Optimization with Sample Reuse (GePPO)
  ☆24Updated last year
• grasp-lyrl / scalableMARL
  Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking (IROS22).
  ☆10Updated 2 years ago
• diversepsro / diverse_psro
  ☆18Updated 4 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆15Updated 5 years ago
• BaoqianWang / IROS22_DARL1N
  ☆13Updated 2 years ago
• starry-sky6688 / DyMA-CL
  Implementation of DyMA-CL, MARL algorithm
  ☆27Updated 5 years ago
• jiayu-ch15 / Variational-Automatic-Curriculum-Learning
  curriculum
  ☆25Updated 2 years ago
• galdl / rl_delay_basic
  Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.
  ☆14Updated last year
• 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
• SafeRL-Lab / Uncertainty-in-RL
  The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.
  ☆21Updated 2 years ago
• Abluceli / H2G-MAAC
  The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …
  ☆14Updated 3 years ago
• simsimiSION / pymarl-algorithm-extension-via-starcraft
  ☆12Updated 4 years ago
• liuzuxin / safe-rl-robustness
  Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)
  ☆46Updated 6 months ago