research
∙
07/30/2023
Rating-based Reinforcement Learning
This paper develops a novel rating-based reinforcement learning approach...
share
research
∙
07/22/2023
DIP-RL: Demonstration-Inferred Preference Learning in Minecraft
In machine learning for sequential decision-making, an algorithmic agent...
research
∙
03/23/2023
Towards Solving Fuzzy Tasks with Human Feedback: A Retrospective of the MineRL BASALT 2022 Competition
To facilitate research in the direction of fine-tuning foundation models...
research
∙
01/11/2023
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Preference-based reinforcement learning (PbRL) can enable robots to lear...
research
∙
07/16/2022
Autonomously Untangling Long Cables
Cables are ubiquitous in many settings and it is often useful to untangl...
research
∙
07/02/2022
Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies
Simulation-to-reality transfer has emerged as a popular and highly succe...
research
∙
06/17/2022
Efficiently Learning Single-Arm Fling Motions to Smooth Garments
Recent work has shown that 2-arm "fling" motions can be effective for ga...
research
∙
03/08/2022
Policy-Based Bayesian Experimental Design for Non-Differentiable Implicit Models
For applications in healthcare, physics, energy, robotics, and many othe...
research
∙
09/17/2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
Effective robot learning often requires online human feedback and interv...
research
∙
06/29/2021
Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies
Robot manipulation for untangling 1D deformable structures such as ropes...
research
∙
06/04/2021
Disentangling Dense Multi-Cable Knots
Disentangling two or more cables requires many steps to remove crossings...
research
∙
03/31/2021
LazyDAgger: Reducing Context Switching in Interactive Imitation Learning
Corrective interventions while a robot is learning to automate a task pr...
research
∙
11/09/2020
ROIAL: Region of Interest Active Learning for Characterizing Exoskeleton Gait Preference Landscapes
Characterizing what types of exoskeleton gaits are comfortable for users...
research
∙
03/13/2020
Human Preference-Based Learning for High-dimensional Optimization of Exoskeleton Walking Gaits
Understanding users' gait preferences of a lower-body exoskeleton requir...
research
∙
09/26/2019
