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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：The complexity of computing Markov perfect equilibrium in general-sum stochastic games
一般 随机博弈 马尔可夫完美均衡 计算复杂性
2023/5/12
Similar to the role of Markov decision processes in reinforcement learning, Markov games (also known as stochastic games) form the basis for the study of multi-agent reinforcement learning and sequenc...
Since the seminal paper of Shapley, the theory of stochastic games has been developed in many different directions. However, there has been practically no work on the interplay between stochastic game...
Multigrid methods for two-player zero-sum stochastic games
Multigrid methods two-player zero-sum stochastic games Optimization and Control Numerical Analysis
2011/8/30
Abstract: We develop a fast numerical algorithm for large scale zero-sum stochastic games with perfect information, which combines policy iteration and algebraic multigrid methods. This algorithm can ...
On zero - sum stochastic games with general state space. I
zero - sum stochastic games general state space
2009/9/24
On zero - sum stochastic games with general state space. I。
On zero-sum stochastic games with general state space. II
zero-sum stochastic games general state space
2009/9/24
On zero-sum stochastic games with general state space. II。
《Handbook of Game Theory with Economic Applications》Chapter 48 Stochastic games Recent results
Handbook of Game Theory with Economic Applications Stochastic games Recent results
2009/4/3
《Handbook of Game Theory with Economic Applications》Chapter 48 Stochastic games Recent results。
《Handbook of Game Theory with Economic Applications》Chapter 47 Stochastic games
Handbook of Game Theory with Economic Applications Stochastic games
2009/4/3
《Handbook of Game Theory with Economic Applications》Chapter 47 Stochastic games。