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09/05/2023
Efficient RL via Disentangled Environment and Agent Representations
Agents that are aware of the separation between themselves and their env...
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08/21/2023
Structured World Models from Human Videos
We tackle the problem of learning complex, general behaviors directly in...
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04/17/2023
Affordances from Human Videos as a Versatile Representation for Robotics
Building a robot that can understand and learn to interact by watching h...
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02/13/2023
ALAN: Autonomously Exploring Robotic Agents in the Real World
Robotic agents that operate autonomously in the real world need to conti...
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12/08/2022
VideoDex: Learning Dexterity from Internet Videos
To build general robotic agents that can operate in many environments, i...
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10/23/2019
Contextual Imagined Goals for Self-Supervised Robotic Learning
While reinforcement learning provides an appealing formalism for learnin...
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06/13/2019
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards
Connector insertion and many other tasks commonly found in modern manufa...
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03/08/2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
In standard reinforcement learning, each new skill requires a manually-d...
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12/07/2018
Residual Reinforcement Learning for Robot Control
Conventional feedback control methods can solve various types of robot c...
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07/12/2018