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math.OC2024
Convergence of Policy Iteration for Entropy-Regularized Stochastic Control Problems
Yu-Jui Huang, Zhenhua Wang, Zhou Zhou
For a general entropy-regularized stochastic control problem on an infinite horizon, we prove that a policy iteration algorithm (PIA) converges to an optimal relaxed control. Contr…
math.OC2024
Relaxed Equilibria for Time-Inconsistent Markov Decision Processes
Erhan Bayraktar, Yu-Jui Huang, Zhenhua Wang +1
This paper considers an infinite-horizon Markov decision process (MDP) that allows for general non-exponential discount functions, in both discrete and continuous time. Due to the…