vignesh-viswanathan / Bayesian-Stackelberg-Games

Related projects: ⓘ

• HolaHansi / game_theory
  Implementing Algorithms for Computing Stackelberg Equilibria in Security Games
  ☆39Updated 7 years ago
• Sadie-Zhao / Zero-Sum-Stochastic-Stackelberg-Games-NeurIPS
  This is the code repository for the paper "Zero-Sum Stochastic Stackelberg Games".
  ☆15Updated last year
• sailik1991 / StackelbergEquilibribumSolvers
  Solves a Mixed Integer Linear Program to generate the Stacklberg Equilibrium of a General-sum (+Bayesian) Games.
  ☆35Updated 4 years ago
• yudasong / Reinforcement-Learning-Branch-and-Bound
  ☆16Updated 6 years ago
• qiang-ma / HRL-for-combinatorial-optimization
  Hierarchical deep reinforcement learning for combinatorial optimization problem
  ☆33Updated 4 years ago
• fiezt / Stackelberg-Code
  Code for "Convergence of Learning Dynamics in Stackelberg Games"
  ☆13Updated 4 years ago
• fmaxgarcia / Meta-MDP
  ☆11Updated 4 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 6 years ago
• rmoehn / piglet_pbvi
  Implementation of point-based value iteration (for POMDPs)
  ☆12Updated 4 years ago
• MUmarJaved / MultiAgent-Distributed-Reinforcement-Learning
  ☆20Updated 5 years ago
• fiezt / ICML-2020-Implicit-Stackelberg-Learning
  ☆11Updated 4 years ago
• Lunj12 / RL-Bandits-with-Knapsacks
  Dynamic Pricing BwK Problem and Reinforcement Learning
  ☆28Updated 5 years ago
• Nikunj-Gupta / FCMADRL
  Fully Cooperative Multi-Agent Deep Reinforcement Learning
  ☆23Updated 4 years ago
• ying-wen / malib_deprecated
  A Multi-agent Learning Framework
  ☆61Updated 3 years ago
• 011235813 / discrete_mean_field_game
  Experiments on a discrete mean field game model of population dynamics with reinforcement learning
  ☆30Updated 11 months ago
• kshitija2 / Interactive-Multi-objective-Reinforcement-Learning
  Multi-objective reinforcement learning deals with finding policies for tasks where there are multiple distinct criteria to optimize for. …
  ☆19Updated 5 years ago
• bramdemoor-BE / Reward-shaping-to-improve-the-performance-of-DRL-in-inventory-management
  Link to paper: https://www.ssrn.com/abstract=3804655
  ☆13Updated 3 years ago
• esmeralday / MARL
  Multi-Agent Reinforcement Learning
  ☆12Updated 4 years ago
• GitYiheng / ofcourse
  Order Fulfillment by Multi-Agent Reinforcement Learning
  ☆16Updated 9 months ago
• LiYuTJUFE / Stackelberg-Game
  ☆12Updated 4 years ago
• renweiya / RFQ-RFAC
  Represented Value Function Approach for Large Scale Multi Agent Reinforcement Learning
  ☆13Updated 4 years ago
• laonahongchen / Bilevel-Optimization-in-Coordination-Game
  code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)
  ☆53Updated 4 years ago
• sailik1991 / MarkovGameSolvers
  This is code for finding the minimax/nash/stackelberg strategy of players in Markov Games.
  ☆21Updated 4 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
• jingw2 / neural-combinatorial-optimization-rl
  ☆35Updated 4 years ago
• DanieleGammelli / graph-meta-rl-for-amod
  Official implementation of "Graph Meta-Reinforcement Learning for TransferableAutonomous Mobility-on-Demand"
  ☆16Updated 2 years ago
• emliang / Multi-Agent-RL
  Paper list of multi-agent reinforcement learning (MARL)
  ☆25Updated 2 years ago
• venktesh22 / ExpressLanes_Deep-RL
  ☆24Updated 4 years ago
• KaiYan289 / RLpapersnote
  ☆38Updated this week
• wuzhy66 / ML-DAM
  Meta-Learning-based Deep Reinforcement Learning for Multiobjective Optimization Problems
  ☆25Updated 3 months ago