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10/10/2022
Generalized Optimality Guarantees for Solving Continuous Observation POMDPs through Particle Belief MDP Approximation
Partially observable Markov decision processes (POMDPs) provide a flexib...
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12/18/2020
Voronoi Progressive Widening: Efficient Online Solvers for Continuous Space MDPs and POMDPs with Provably Optimal Components
Markov decision processes (MDPs) and partially observable MDPs (POMDPs) ...
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04/16/2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions
In this paper, the issue of model uncertainty in safety-critical control...
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09/10/2019
