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02/27/2020
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
Collision checking is a computational bottleneck in motion planning, req...
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02/07/2020
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
Informed and robust decision making in the face of uncertainty is critic...
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09/14/2019
Towards Effective Human-AI Teams: The Case of Collaborative Packing
We focus on the problem of designing an artificial agent, capable of ass...
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09/14/2019
Towards Effective Human-AI Teams: The Case of Human-Robot Packing
We focus on the problem of designing an artificial agent capable of assi...
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06/05/2019
Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate
A robot-assisted feeding system must successfully acquire many different...
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05/30/2019
Imitation Learning as f-Divergence Minimization
We address the problem of imitation learning with multi-modal demonstrat...
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10/06/2018
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes
We present the first PAC optimal algorithm for Bayes-Adaptive Markov Dec...
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10/01/2018
Bayesian Policy Optimization for Model Uncertainty
Addressing uncertainty is critical for autonomous systems to robustly ad...
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04/23/2018
Food manipulation: A cadence of haptic signals
Autonomous assistive feeding is challenging because it requires manipula...
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10/14/2017
Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered Environments
We present an algorithm for obtaining an optimal control policy for hybr...
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10/02/2017
