Showing 8 publications
Risk-Sensitive Bayesian Games for Multi-Agent Reinforcement Learning under Policy Uncertainty
SENTINEL: Taming Uncertainty with Ensemble-based Distributional Reinforcement Learning
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Construction and random generation of hypergraphs with prescribed degree and dimension sequences
Bayesian Reinforcement Learning via Deep, Sparse Sampling
Inferential Induction: A Novel Framework for Bayesian Reinforcement Learning
BelMan: An Information-Geometric Approach to Stochastic Bandits
Topological Data Analysis with ϵ -net Induced Lazy Witness Complex
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Pre-study: Deep Learning for Deep Water