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09/14/2023
Equivariant Data Augmentation for Generalization in Offline Reinforcement Learning
We present a novel approach to address the challenge of generalization i...
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08/15/2023
Real Robot Challenge 2022: Learning Dexterous Manipulation from Offline Data in the Real World
Experimentation on real robots is demanding in terms of time and costs. ...
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07/18/2023
Towards A Unified Agent with Foundation Models
Language Models and Vision Language Models have recently demonstrated un...
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05/18/2023
Massively Scalable Inverse Reinforcement Learning in Google Maps
Optimizing for humans' latent preferences is a grand challenge in route ...
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04/26/2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
We investigate whether Deep Reinforcement Learning (Deep RL) is able to ...
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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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10/22/2022
Solving Continuous Control via Q-learning
While there has been substantial success in applying actor-critic method...
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09/05/2022
MO2: Model-Based Offline Options
The ability to discover useful behaviours from past experience and trans...
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04/12/2022
Offline Distillation for Robot Lifelong Learning with Imbalanced Experience
Robots will experience non-stationary environment dynamics throughout th...
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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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01/27/2022
The Challenges of Exploration for Offline Reinforcement Learning
Offline Reinforcement Learning (ORL) enablesus to separately study the t...
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12/09/2021
Learning Transferable Motor Skills with Hierarchical Latent Mixture Policies
For robots operating in the real world, it is desirable to learn reusabl...
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12/01/2021
Wish you were here: Hindsight Goal Selection for long-horizon dexterous manipulation
Complex sequential tasks in continuous-control settings often require ag...
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11/03/2021
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies
Reinforcement learning (RL) for continuous control typically employs dis...
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09/17/2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration
Curiosity-based reward schemes can present powerful exploration mechanis...
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05/25/2021
From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
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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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08/06/2020
Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion
Modern Reinforcement Learning (RL) algorithms promise to solve difficult...
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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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05/15/2020
Simple Sensor Intentions for Exploration
Modern reinforcement learning algorithms can learn solutions to increasi...
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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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11/19/2019
Attention Privileged Reinforcement Learning For Domain Transfer
Applying reinforcement learning (RL) to physical systems presents notabl...
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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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04/15/2019
Efficient Supervision for Robot Learning via Imitation, Simulation, and Adaptation
Recent successes in machine learning have led to a shift in the design o...
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06/15/2018
On Machine Learning and Structure for Mobile Robots
Due to recent advances - compute, data, models - the role of learning in...
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06/14/2018
Neural Stethoscopes: Unifying Analytic, Auxiliary and Adversarial Network Probing
Model interpretability and systematic, targeted model adaptation present...
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03/02/2018
TACO: Learning Task Decomposition via Temporal Alignment for Control
Many advanced Learning from Demonstration (LfD) methods consider the dec...
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12/20/2017
Incremental Adversarial Domain Adaptation for Continually Changing Environments
Continuous appearance shifts such as changes in weather and lighting con...
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12/20/2017
Incremental Adversarial Domain Adaptation
Continuous appearance shifts such as changes in weather and lighting con...
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07/25/2017
Mutual Alignment Transfer Learning
Training robots for operation in the real world is a complex, time consu...
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07/17/2017
Reverse Curriculum Generation for Reinforcement Learning
Many relevant tasks require an agent to reach a certain state, or to man...
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12/13/2016