A New Policy Iteration Algorithm For Reinforcement Learning in Zero-Sum Markov Games.

Anna Winnicki R. Srikant

Published in: CoRR (2023)

Keyphrases

markov games
policy iteration algorithm
markov decision processes
reinforcement learning
reinforcement learning algorithms
policy iteration
finite state
markov decision process
control problems

state space
optimal policy
function approximation
actor critic
multiagent reinforcement learning
stochastic games
dynamic programming
partially observable
temporal difference

temporal difference learning
action space
approximate dynamic programming
learning algorithm
reinforcement learning methods
machine learning
action selection
infinite horizon
optimal control

multi agent
average cost
average reward
function approximators
learning automata
model free
incomplete information
decision problems
supervised learning