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06/20/2023
Adversarial Search and Track with Multiagent Reinforcement Learning in Sparsely Observable Environment
We study a search and tracking (S T) problem for a team of dynamic sea...
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06/19/2023
Learning Models of Adversarial Agent Behavior under Partial Observability
The need for opponent modeling and tracking arises in several real-world...
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01/20/2023
MAVERIC: A Data-Driven Approach to Personalized Autonomous Driving
Personalization of autonomous vehicles (AV) may significantly increase t...
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10/07/2021
Improving Robot-Centric Learning from Demonstration via Personalized Embeddings
Learning from demonstration (LfD) techniques seek to enable novice users...
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07/07/2020
Meta-active Learning in Probabilistically-Safe Optimization
Learning to control a safety-critical system with latent dynamics (e.g. ...
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01/09/2020