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

• zbzhu99 / Constrained-Decision-Making-Paper-List
  Paper list for constrained policy optimization in reinforcement learning.
  ☆71Updated last year
• fiezt / Stackelberg-Code
  Code for "Convergence of Learning Dynamics in Stackelberg Games"
  ☆13Updated 5 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 4 years ago
• ml3705454 / mapr2
  ☆44Updated 2 years ago
• huanzhang12 / ATLA_robust_RL
  Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework
  ☆63Updated 4 years ago
• saizhang0218 / VBC
  pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"
  ☆52Updated 2 years ago
• akifumi-wachi-4 / safe_near_optimal_mdp
  Safe Reinforcement Learning in Constrained Markov Decision Processes
  ☆58Updated 4 years ago
• oxwhirl / comix
  ☆43Updated 4 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆41Updated 3 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
• jinxinglim / Game-Theoretical-Approaches-in-Multi-Agent-Reinforcement-Learning-Policy-Space-Response-Oracles
  ☆14Updated 5 years ago
• vignesh-viswanathan / Bayesian-Stackelberg-Games
  The three algorithms used to solve Bayesian Stackelberg Games have been implemented here.
  ☆26Updated 6 years ago
• ajlangley / cpo-pytorch
  An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch
  ☆24Updated 4 years ago
• activatedgeek / qmix
  ☆26Updated 6 years ago
• saizhang0218 / TMC
  Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"
  ☆26Updated 4 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆94Updated last year
• hahayonghuming / VDACs
  Value-Decomposition Multi-Agent Actor-Critics
  ☆40Updated 2 years ago
• chaovven / SMIX
  Code for "SMIX(λ): Enhancing Centralized Value Functions for Cooperative Multi-Agent Reinforcement Learning" AAAI 2020
  ☆26Updated 2 years ago
• dadadidodi / m3ddpg
  ☆52Updated 6 years ago
• younggyoseo / lasertag-v0
  Implementation of Deepmind's LaserTag-v0 game in A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning(2017)
  ☆19Updated 6 years ago
• gmargo11 / hDQN
  Implementation of Hierarchical Deep Q-Learning (Kulkarni et al., 2016)
  ☆35Updated 5 years ago
• tuladhay / ATOC_COMA_PyTorch
  ☆22Updated 6 years ago
• FedUni / MORL
  Multi-Objective Reinforcement Learning components built on top of RL glue components
  ☆29Updated last year
• IouJenLiu / CMAE
  ☆48Updated 3 years ago
• skumar9876 / Hierarchical-DQN
  Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…
  ☆82Updated 7 years ago
• wendelinboehmer / dcg
  ☆74Updated 10 months ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆43Updated 8 years ago
• yalidu / liir
  Learning Individual Intrinsic Reward in MARL
  ☆62Updated 2 years ago
• Sonkyunghwan / QTRAN
  There will be updates later
  ☆84Updated 5 years ago
• PKU-RL / RoadnetSZ
  ☆17Updated 2 years ago