Rowan McAllister
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Sergey Levine
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Is Anyone There? Learning a Planner Contingent on Perceptual Uncertainty
Control-Aware Prediction Objectives for Autonomous Driving
Contingencies from Observations: Tractable Contingency Planning with Learned Behavior Models
Outcome-Driven Reinforcement Learning via Variational Inference
Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Model-Based Meta-Reinforcement Learning forFlight with Suspended Payloads
Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models
Deep Imitative Models for Flexible Inference, Planning, and Control
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