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Patrick MacAlpine

2 accepted papers

2026

Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy

AAAI 2026technical

Generalization to unseen environments is a significant challenge in the field of robotics and control. In this work, we focus on contextual reinforcement learning, where agents act within environments with varying contexts, such as self-driving cars or quadrupedal robots that need to operate in diff

Cited by 0SourcePDFScholar
2022

Cross-Trajectory Representation Learning for Zero-Shot Generalization in RL

ICLR 2022poster

A highly desirable property of a reinforcement learning (RL) agent -- and a major difficulty for deep RL approaches -- is the ability to generalize policies learned on a few tasks over a high-dimensional observation space to similar tasks not seen during training. Many promising approaches to this c…