Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning.
Yingjie FeiRuitu XuPublished in: CoRR (2024)
Keyphrases
- multi agent reinforcement learning
- risk sensitive
- optimal control
- markov decision processes
- utility function
- stochastic games
- reinforcement learning
- model free
- multi agent
- nash equilibrium
- game theory
- multi agent learning
- learning agents
- nash equilibria
- multi agent systems
- decision theoretic
- expected utility
- decision theory
- reinforcement learning algorithms
- optimality criterion
- average cost
- single agent
- function approximation
- learning agent
- cooperative
- control policies
- dynamic programming
- finite state
- neural network