Alternatives and similar repositories for FOP

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

• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆85Updated 2 years ago
• chenf-ai / Multi-Agent-Communication-Considering-Representation-Learning
  ☆30Updated 2 years ago
• TonghanWang / RODE
  Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is …
  ☆76Updated 7 months ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago
• mansicer / MAIC
  The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆56Updated last year
• jidiai / GRF_MARL
  Google Research Football MARL Benchmark and Research Toolkit
  ☆46Updated last year
• ReinholdM / Offline-Pre-trained-Multi-Agent-Decision-Transformer
  ☆111Updated 2 years ago
• TonghanWang / EITI-EDTI
  Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)
  ☆33Updated 5 years ago
• Xingyu-Lin / mbpo_pytorch
  A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
  ☆171Updated 3 years ago
• YiqinYang / ICQ
  Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…
  ☆74Updated 2 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆59Updated 3 years ago
• LAMDA-RL / ODIS
  The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".
  ☆43Updated 8 months ago
• Theohhhu / UPDeT
  Official Implementation of 'UPDeT: Universal Multi-agent Reinforcement Learning via Policy Decoupling with Transformers' ICLR 2021(spotli…
  ☆133Updated 4 years ago
• apexrl / AORPO
  Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.
  ☆20Updated 3 years ago
• PKU-RL / CORRO
  [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
  ☆35Updated 2 years ago
• Cranial-XIX / marl-copa
  PyTorch Implementation of COPA for coordinating teams that can dynamically change.
  ☆21Updated 3 years ago
• oxwhirl / comix
  ☆44Updated 4 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆57Updated 2 years ago
• morning9393 / HAPPO-HATRPO
  ☆41Updated 3 years ago
• kikojay / EMC
  The code for paper, "Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration", NeurIPS 2021.
  ☆40Updated 2 years ago
• IouJenLiu / CMAE
  ☆49Updated 3 years ago
• MDrW / ICML2022-IRAT
  ☆39Updated 3 years ago
• rll-research / BPref
  Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.
  ☆127Updated 3 years ago
• PKU-RL / I2C
  ☆44Updated 4 years ago
• ling-pan / OMAR
  ☆50Updated 2 years ago
• ruizhaogit / maximum_entropy_population_based_training
  Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination
  ☆28Updated 2 years ago
• SvenGronauer / Bullet-Safety-Gym
  An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.
  ☆70Updated 2 years ago
• snu-mllab / EDAC
  Official PyTorch implementation of "Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble" (NeurIPS'21)
  ☆75Updated 2 years ago
• benellis3 / pymarl2
  Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)
  ☆18Updated last year
• watchernyu / REDQ
  Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.
  ☆170Updated 8 months ago