Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games.

Pengdeng Li Runsheng Yu Xinrun Wang Bo An

Published in: AAAI (2024)

Keyphrases

reinforcement learning
game theory
nash equilibria
leader follower
nash equilibrium
transition model
learning agents
game theoretic
mixed strategy
stackelberg game

real world
em algorithm
state space
small scale
belief networks
action sets
function approximation
video games
markov random field
optimal control

multiagent learning
cooperative
markov networks
multi agent
function approximators
temporal difference
imperfect information
bayesian inference
free energy

state transition
game playing
game design
educational games
computer games
fixed point
markov decision processes
dynamic programming
machine learning