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11/25/2022
Solving math word problems with process- and outcome-based feedback
Recent work has shown that asking language models to generate reasoning ...
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03/31/2022
Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors
We investigate the use of prior knowledge of human and animal movement t...
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10/29/2020
"What, not how": Solving an under-actuated insertion task from scratch
Robot manipulation requires a complex set of skills that need to be care...
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07/30/2020
Data-efficient Hindsight Off-policy Option Learning
Solutions to most complex tasks can be decomposed into simpler, intermed...
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06/26/2020
Critic Regularized Regression
Offline reinforcement learning (RL), also known as batch RL, offers the ...
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05/15/2020
Simple Sensor Intentions for Exploration
Modern reinforcement learning algorithms can learn solutions to increasi...
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10/09/2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models
Humans are masters at quickly learning many complex tasks, relying on an...
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06/26/2019
Regularized Hierarchical Policies for Compositional Transfer in Robotics
The successful application of flexible, general learning algorithms -- s...
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04/06/2018