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05/22/2023
TOM: Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Standard model-based reinforcement learning (MBRL) approaches fit a tran...
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03/23/2023
Planning Goals for Exploration
Dropped into an unknown environment, what should an agent do to quickly ...
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02/16/2023
Learning a Meta-Controller for Dynamic Grasping
Grasping moving objects is a challenging task that combines multiple sub...
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12/17/2022
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Physical interactions can often help reveal information that is not read...
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10/28/2022
Long-HOT: A Modular Hierarchical Approach for Long-Horizon Object Transport
We address key challenges in long-horizon embodied exploration and navig...
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09/25/2022
Vision-based Perimeter Defense via Multiview Pose Estimation
Previous studies in the perimeter defense game have largely focused on t...
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06/07/2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression
Offline goal-conditioned reinforcement learning (GCRL) promises general-...
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02/04/2022
SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching
We propose State Matching Offline DIstribution Correction Estimation (SM...
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01/19/2022
Prospective Learning: Back to the Future
Research on both natural intelligence (NI) and artificial intelligence (...
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12/14/2021
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Reinforcement Learning (RL) agents in the real world must satisfy safety...
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08/26/2021
Probabilistic Modeling for Human Mesh Recovery
This paper focuses on the problem of 3D human reconstruction from 2D evi...
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07/19/2021
Know Thyself: Transferable Visuomotor Control Through Robot-Awareness
Training visuomotor robot controllers from scratch on a new robot typica...
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07/12/2021
Conservative Offline Distributional Reinforcement Learning
Many reinforcement learning (RL) problems in practice are offline, learn...
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04/02/2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control?
The difficulty of optimal control problems has classically been characte...
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11/30/2020
Diverse Sampling for Normalizing Flow Based Trajectory Forecasting
For autonomous cars to drive safely and effectively, they must anticipat...
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10/18/2020
Model-Based Inverse Reinforcement Learning from Visual Demonstrations
Scaling model-based inverse reinforcement learning (IRL) to real robotic...
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08/15/2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Reinforcement learning (RL) in real-world safety-critical target setting...
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06/23/2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
The ability to predict and plan into the future is fundamental for agent...
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05/29/2020
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
Despite decades of research, general purpose in-hand manipulation remain...
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01/07/2020
An Exploration of Embodied Visual Exploration
Embodied computer vision considers perception for robots in general, uns...
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12/31/2019
Morphology-Agnostic Visual Robotic Control
Existing approaches for visuomotor robotic control typically require cha...
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12/11/2019
SMiRL: Surprise Minimizing RL in Dynamic Environments
All living organisms struggle against the forces of nature to carve out ...
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06/27/2019
Emergence of Exploratory Look-Around Behaviors through Active Observation Completion
Standard computer vision systems assume access to intelligently captured...
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05/28/2019
Causal Confusion in Imitation Learning
Behavioral cloning reduces policy learning to supervised learning by tra...
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05/17/2019
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning
Standardized evaluation measures have aided in the progress of machine l...
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03/11/2019
Manipulation by Feel: Touch-Based Control with Deep Predictive Models
Touch sensing is widely acknowledged to be important for dexterous robot...
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08/23/2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Prediction is arguably one of the most basic functions of an intelligent...
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05/28/2018
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
For humans, the process of grasping an object relies heavily on rich tac...
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12/07/2016
Pano2Vid: Automatic Cinematography for Watching 360^∘ Videos
We introduce the novel task of Pano2Vid - automatic cinematography in pa...
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12/01/2016
Object-Centric Representation Learning from Unlabeled Videos
Supervised (pre-)training currently yields state-of-the-art performance ...
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06/15/2015
Slow and steady feature analysis: higher order temporal coherence in video
How can unlabeled video augment visual learning? Existing methods perfor...
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05/08/2015
Learning image representations tied to ego-motion
Understanding how images of objects and scenes behave in response to spe...
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09/15/2014