Showing 1–20 of 21 results
/ Date/ Name
May 8, 2020Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model CheckingFeb 28, 2017Stacked Thompson BanditsFeb 24, 2017Scalable Multiagent Coordination with Distributed Online Open Loop PlanningFeb 25, 2017Monte Carlo Action ProgrammingFeb 28, 2017Bayesian Verification under Model UncertaintyJan 25, 2019Distributed Policy Iteration for Scalable Approximation of Cooperative Multi-Agent PoliciesFeb 28, 2017QoS-Aware Multi-Armed BanditsApr 28, 2018The Sharer's Dilemma in Collective Adaptive Systems of Self-Interested AgentsOct 30, 2018Inheritance-Based Diversity Measures for Explicit Convergence Control in Evolutionary AlgorithmsDec 31, 2019Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement LearningApr 11, 2020Bayesian Surprise in Indoor EnvironmentsMar 7, 2017Qualitative Assessment of Recurrent Human MotionJan 8, 2019Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement LearningOct 30, 2018Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary AlgorithmsApr 29, 2020The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning PipelineMay 10, 2019Memory Bounded Open-Loop Planning in Large POMDPs using Thompson SamplingMay 10, 2019Emergent Escape-based Flocking Behavior using Multi-Agent Reinforcement LearningApr 11, 2020Trajectory annotation using sequences of spatial perceptionApr 27, 2017Genealogical Distance as a Diversity Estimate in Evolutionary AlgorithmsJul 15, 2022Stochastic Market Games