Alternatives and similar repositories for Bayesian-Stackelberg-Games

Users that are interested in Bayesian-Stackelberg-Games are comparing it to the libraries listed below

• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆42Updated 8 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆15Updated 2 years ago
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆36Updated 5 years ago
• fiezt / ICML-2020-Implicit-Stackelberg-Learning
  ☆12Updated 4 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆35Updated 5 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 4 years ago
• fiezt / Stackelberg-Code
  Code for "Convergence of Learning Dynamics in Stackelberg Games"
  ☆13Updated 5 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 5 years ago
• LukeLee233 / DRL_GCN_CVRP
  An implementation for CVRP problem with A3C+Attention mechanism and GCN
  ☆17Updated 5 years ago
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 5 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆26Updated 4 years ago
• sailik1991 / MarkovGameSolvers
  This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.
  ☆24Updated 5 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆41Updated 3 years ago
• KaiYan289 / RLpapersnote
  ☆43Updated last month
• nik7273 / covid-pgmorl
  Multi-objective reinforcement learning for covid-19 control
  ☆11Updated 3 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆15Updated 5 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆36Updated last year
• PKU-RL / FEN
  FEN Code
  ☆37Updated 5 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆31Updated 4 years ago
• Steven-Ho / madrl-baselines
  Some multiagent deep reinforcement learning algorithms and its PyTorch implementation.
  ☆13Updated 5 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆38Updated 11 months ago
• ming93 / Safe_reinforcement_learning
  Convergent Policy Optimization for Safe Reinforcement Learning
  ☆11Updated 5 years ago
• matrl-project / matrl
  ☆12Updated 4 years ago
• guaguakai / equilibrium_gradient
  This is the implementation of "Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games", Kai…
  ☆9Updated 3 years ago
• david-simoes-93 / Mixed-Policy-Asynchronous-Deep-Q-Learning
  Deep learning implementations (Asynchronous Deep Q-Learning) of multiple Game Theory algorithms for adversarial learning (WoLF-PHC, GIGA-…
  ☆15Updated 7 years ago
• Amanda2024 / CARE-SMAC-MA_SAC
  Multi-task Multi-agent Soft Actor Critic for SMAC
  ☆12Updated 3 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆12Updated 3 years ago