Informed Posterior Sampling Based Reinforcement Learning Algorithms
Discrete-time zero-sum games for Markov chains with risk-sensitive average cost criterion
Stochastic Control with Partial Information: Regularity, Optimality, Approximations, and Learning
Mean field games on sparse graphs using graphons, Lp graphons and graphexes
A Strategic Information Transmission View of the "Misinformation Epidemics"
Dynamic Estimation of Mental Workload and Operator Accuracy in Human Automation Teams
Distributed Nash Equilibrium Seeking over Networks
Periodic agent-state based Q-learning for POMDPs
Nonlinear Stochastic Hybrid Optimal Control with Fixed Terminal States
Some optimal visiting problems: from a single player to a crowd of agents
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