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07/07/2023
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
What makes generalization hard for imitation learning in visual robotic ...
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06/26/2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning
Large transformer models trained on diverse datasets have shown a remark...
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10/19/2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning
A long-term goal of reinforcement learning is to design agents that can ...
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02/14/2022
Robust Policy Learning over Multiple Uncertainty Sets
Reinforcement learning (RL) agents need to be robust to variations in sa...
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10/05/2021
Influencing Towards Stable Multi-Agent Interactions
Learning in multi-agent environments is difficult due to the non-station...
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09/19/2021
Lifelong Robotic Reinforcement Learning by Retaining Experiences
Multi-task learning ideally allows robots to acquire a diverse repertoir...
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11/12/2020
Learning Latent Representations to Influence Multi-Agent Interaction
Seamlessly interacting with humans or robots is hard because these agent...
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06/18/2020
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
As humans, our goals and our environment are persistently changing throu...
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12/30/2019
Learning Predictive Models From Observation and Interaction
Learning predictive models from interaction with the world allows an age...
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04/11/2019
Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight
Machine learning techniques have enabled robots to learn narrow, yet com...
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12/03/2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control
Deep reinforcement learning (RL) algorithms can learn complex robotic sk...
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09/30/2018
Few-Shot Goal Inference for Visuomotor Learning and Planning
Reinforcement learning and planning methods require an objective or rewa...
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02/05/2018
