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06/20/2023
RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
The ability to leverage heterogeneous robotic experience from different ...
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11/24/2022
SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration
The ability to effectively reuse prior knowledge is a key requirement wh...
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05/06/2022
How to Spend Your Robot Time: Bridging Kickstarting and Offline Reinforcement Learning for Vision-based Robotic Manipulation
Reinforcement learning (RL) has been shown to be effective at learning c...
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10/12/2021
Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes
We study the problem of robotic stacking with objects of complex geometr...
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11/03/2020
Representation Matters: Improving Perception and Exploration for Robotics
Projecting high-dimensional environment observations into lower-dimensio...
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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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02/19/2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Off-policy reinforcement learning algorithms promise to be applicable in...
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01/02/2020
Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics
Many real-world control problems involve both discrete decision variable...
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10/21/2019
Modelling Generalized Forces with Reinforcement Learning for Sim-to-Real Transfer
Learning robotic control policies in the real world gives rise to challe...
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10/21/2019
Self-Supervised Sim-to-Real Adaptation for Visual Robotic Manipulation
Collecting and automatically obtaining reward signals from real robotic ...
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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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02/13/2019
Simultaneously Learning Vision and Feature-based Control Policies for Real-world Ball-in-a-Cup
We present a method for fast training of vision based control policies o...
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02/28/2018
Learning by Playing - Solving Sparse Reward Tasks from Scratch
We propose Scheduled Auxiliary Control (SAC-X), a new learning paradigm ...
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07/27/2017