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
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆36Updated 5 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆15Updated 3 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆36Updated 6 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆31Updated 6 years ago
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 5 years ago
• fmaxgarcia / Meta-MDP
  ☆10Updated 6 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆17Updated 7 years ago
• wuga214 / PAPER_IJCAI17_HybridPlanning_NeuralNetwork_MILP
  The code of paper "Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming." published on …
  ☆10Updated 7 years ago
• awslabs / or-rl-benchmarks
  The source code for the paper: 'ORL: Reinforcement Learning Benchmarks for Online Stochastic Optimization Problems'
  ☆85Updated 4 years ago
• KaiYan289 / RLpapersnote
  ☆47Updated 2 weeks ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆59Updated 5 years ago
• Riashat / Q-Learning-SARSA-Policy-and-Value-Iteration
  Implementation of basic reinforcement learning algorithms (Q-learning, SARSA, Policy iteration and Value Iteration) on benchmark RL MDPs …
  ☆37Updated 9 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆19Updated 6 years ago
• JayMan91 / aaai_predit_then_optimize
  Code release for AAAI 2020 paper "Smart Predict-and-Optimize for Hard Combinatorial Optimization Problems"
  ☆39Updated last year
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 5 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆38Updated 2 years ago
• water-mirror / DPR
  Dynamic Partial Removal: a Neural Network Heuristic for Large Neighborhood Search on Combinatorial Optimization Problems, by applying dee…
  ☆20Updated 5 years ago
• axelabels / DynMORL
  Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning
  ☆103Updated 2 years ago
• hongyanz / Stackelberg-GAN
  Codes for Stackelberg GAN
  ☆15Updated 6 years ago
• fiezt / Stackelberg-Code
  Code for "Convergence of Learning Dynamics in Stackelberg Games"
  ☆13Updated 6 years ago
• sailik1991 / MarkovGameSolvers
  This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.
  ☆26Updated 4 months ago
• vaibkumr / JobSchedulingRLenv
  Reinforcement learning environment for job scheduling written in python.
  ☆25Updated 5 years ago
• LeoZhengZLY / stackelberg-actor-critic-algos
  ☆45Updated 3 years ago
• michaelzcjia / smart_predict_optimize
  MIE424 Group Project: smart_predict_optimize
  ☆14Updated 4 years ago
• hossam-mossalam / multi-objective-deep-rl
  Multi-Objective Deep Reinforcement Learning
  ☆45Updated 8 years ago
• nik7273 / covid-pgmorl
  Multi-objective reinforcement learning for covid-19 control
  ☆12Updated 4 years ago
• bwilder0 / aaai_melding_code
  Code the AAAI 2019 paper "Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization"
  ☆34Updated 4 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆28Updated 5 years ago
• fanshiliang / Hierarchical-Deep-Reinforcement-Learning
  paper <<Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation>> python implementation
  ☆10Updated 7 years ago