MARKOV GAME BASED CONTROL: WORST CASE DESIGN STRATEGIES FOR GAMES AGAINST NATURE
For sequential design processes, the min-max strategy minimizes the worst-case performance cost. This is a game against nature, where the agent attempts to minimize a specified cost criterion, while nature attempts to maximize it. In this paper, we formulate the problem of decision making under uncertainty as a game in which the opponent (nature) is disinterested and plays at random, while the agent forces to pick a strategy that maximizes the probability of wining. The potency of proposed worstcase design strategy for games against nature has been established through simulation experiments on inverted-pendulum swing-up. Simulation results show the accelerated learning, and better relative stability of the system.
Markov games Markov game based RL control inverted pendulum
Hitesh Shah M.Gopal
Department of Electrical Engineering Indian Institute of Technology-Delhi New Delhi, INDIA
国际会议
厦门
英文
339-343
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）