Alternatives and similar repositories for ICML-2020-Implicit-Stackelberg-Learning

Users that are interested in ICML-2020-Implicit-Stackelberg-Learning are comparing it to the libraries listed below

• saizhang0218 / TMC
  Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"
  ☆26Updated 4 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆63Updated 2 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆54Updated 2 years ago
• PKU-RL / I2C
  ☆45Updated 4 years ago
• oxwhirl / comix
  ☆43Updated 4 years ago
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆68Updated 4 years ago
• 011235813 / hierarchical-marl
  Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery
  ☆104Updated 3 years ago
• AnujMahajanOxf / MAVEN
  Submission for MAVEN: Multi-Agent Variational Exploration
  ☆58Updated 3 years ago
• sii-yingwen / rommeo
  IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)
  ☆22Updated 2 years ago
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆39Updated 2 years ago
• QDPP-GitHub / QDPP
  Multi-Agent Determinantal Q-Learning
  ☆43Updated 2 years ago
• wendelinboehmer / dcg
  ☆78Updated last year
• IouJenLiu / CMAE
  ☆49Updated 4 years ago
• wjh720 / QPLEX
  ☆97Updated 4 years ago
• Bigpig4396 / PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA
  ☆76Updated 5 years ago
• chaovven / SMIX
  Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020
  ☆27Updated 2 years ago
• dadadidodi / m3ddpg
  ☆54Updated 6 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆87Updated 7 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆85Updated 6 years ago
• lweitkamp / feudalnets-pytorch
  PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.
  ☆40Updated 5 years ago
• mzho7212 / LICA
  [NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"
  ☆60Updated last year
• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆73Updated last year
• TonghanWang / NDQ
  Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)
  ☆82Updated 2 years ago
• mansicer / MAIC
  The implementation of AAAI 2022 paper "Multi-Agent Incentive Communication via Decentralized Teammate Modeling".
  ☆58Updated last year
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆102Updated 2 years ago
• chenhongge / StateAdvDRL
  [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
  ☆136Updated 3 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 5 years ago
• ml3705454 / mapr2
  ☆48Updated 2 years ago
• activatedgeek / qmix
  ☆26Updated 7 years ago
• shariqiqbal2810 / REFIL
  Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021
  ☆65Updated 4 years ago