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Model-Free Reinforcement Learning for Stochastic Games with Linear Temporal Logic Objectives.
Alper Kamil Bozkurt
Yu Wang
Michael M. Zavlanos
Miroslav Pajic
Published in:
ICRA (2021)
Keyphrases
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stochastic games
linear temporal logic
model free reinforcement learning
temporal logic
nash equilibria
reinforcement learning
model checking
markov decision processes
average reward
multi agent
reinforcement learning algorithms
nash equilibrium
learning automata
state action
infinite horizon
learning agent