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Sivaramakrishnan Swaminathan

2 accepted papers

2024

DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

NeurIPS 2024poster

Learning from previously collected data via behavioral cloning or offline reinforcement learning (RL) is a powerful recipe for scaling generalist agents by avoiding the need for expensive online learning. Despite strong generalization in some respects, agents are often remarkably brittle to minor vi…

2023

Schema-learning and rebinding as mechanisms of in-context learning and emergence

NeurIPS 2023spotlight

In-context learning (ICL) is one of the most powerful and most unexpected capabilities to emerge in recent transformer-based large language models (LLMs). Yet the mechanisms that underlie it are poorly understood. In this paper, we demonstrate that comparable ICL capabilities can be acquired by an a…

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