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05/18/2023
A Generalist Dynamics Model for Control
We investigate the use of transformer sequence models as dynamics models...
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03/31/2023
Accelerating exploration and representation learning with offline pre-training
Sequential decision-making agents struggle with long horizon tasks, sinc...
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05/12/2022
A Generalist Agent
Inspired by progress in large-scale language modeling, we apply a simila...
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07/08/2021
Imitation by Predicting Observations
Imitation learning enables agents to reuse and adapt the hard-won expert...
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11/20/2019
Evaluating task-agnostic exploration for fixed-batch learning of arbitrary future tasks
Deep reinforcement learning has been shown to solve challenging tasks wh...
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10/09/2019
Ctrl-Z: Recovering from Instability in Reinforcement Learning
When learning behavior, training data is often generated by the learner ...
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09/20/2018
Zero-shot Sim-to-Real Transfer with Modular Priors
Current end-to-end Reinforcement Learning (RL) approaches are severely l...
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07/11/2018
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Model-free reinforcement learning has recently been shown to be effectiv...
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11/28/2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay
Recently, model-free reinforcement learning algorithms have been shown t...
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11/20/2017
