GongXudong / fly-craft

Related projects: ⓘ

• GongXudong / fly-craft-examples
  ☆23Updated last week
• tjuHaoXiaotian / pymarl3
  We extend pymarl2 to pymarl3, equipping the MARL algorithms with permutation invariance and permutation equivariance properties. The enh…
  ☆123Updated 8 months ago
• lich14 / CDS
  [NeurIPS 2021] CDS achieves remarkable success in challenging benchmarks SMAC and GRF by balancing sharing and diversity.
  ☆83Updated last year
• zoeyuchao / mappo
  This is the official implementation of Multi-Agent PPO.
  ☆89Updated last year
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆57Updated 2 years ago
• wjh720 / QPLEX
  ☆87Updated 3 years ago
• TJU-DRL-LAB / self-supervised-rl
  ☆30Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆79Updated 5 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 …
  ☆68Updated 10 months ago
• TJU-DRL-LAB / Multiagent-RL
  The official code releasement of publications in MARL field of TJU RL lab.
  ☆50Updated 2 years ago
• Haichao-Zhang / PEX
  Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)
  ☆43Updated last year
• Dragon-Zhuang / BPPO
  Author's Pytorch implementation of ICLR2023 paper Behavior Proximal Policy Optimization (BPPO).
  ☆70Updated 9 months ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆61Updated 3 years ago
• mansicer / MAIC
  The implementation of AAAI'22 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆48Updated 9 months ago
• oxwhirl / facmac
  ☆87Updated 2 years ago
• rhoowd / sched_net
  ☆81Updated 2 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆50Updated last year
• lweitkamp / option-critic-pytorch
  PyTorch implementation of the Option-Critic framework, Harb et al. 2016
  ☆113Updated last month
• NJU-RL / ACORM
  ☆19Updated 5 months ago
• ling-pan / SD3
  ☆54Updated 3 years ago
• Felhof / DiscreteSAC
  ☆39Updated 2 years ago
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆58Updated 3 years ago
• TimeBreaker / Adversarial-Reinforcement-Learning-Papers
  Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)
  ☆53Updated 2 years ago
• polixir / OfflineRL
  A collection of offline reinforcement learning algorithms.
  ☆153Updated 3 months ago
• matteokarldonati / Counterfactual-Multi-Agent-Policy-Gradients
  PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."
  ☆52Updated 4 years ago
• watakandai / hiro_pytorch
  Implementation of HIRO (Data-Efficient Hierarchical Reinforcement Learning)
  ☆87Updated 3 years ago
• sfujim / TD7
  Author's PyTorch implementation of TD7 for online and offline RL
  ☆108Updated last year
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆39Updated last year
• qian18long / epciclr2020
  ☆117Updated last year
• XinJingHao / PPO-Discrete-Pytorch
  A clean and robust Pytorch implementation of PPO on Discrete action space
  ☆56Updated 3 months ago