Search Results for author: Jensen Gao

Found 6 papers, 1 papers with code

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning

no code implementations7 Sep 2023 Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

We further evaluate on a simulated Sawyer pushing task with eye gaze control, and the Lunar Lander game with simulated user commands, and find that our method improves over baseline interfaces in these domains as well.

Decision Making reinforcement-learning

Physically Grounded Vision-Language Models for Robotic Manipulation

no code implementations5 Sep 2023 Jensen Gao, Bidipta Sarkar, Fei Xia, Ted Xiao, Jiajun Wu, Brian Ichter, Anirudha Majumdar, Dorsa Sadigh

However, current VLMs are limited in their understanding of the physical concepts (e. g., material, fragility) of common objects, which restricts their usefulness for robotic manipulation tasks that involve interaction and physical reasoning about such objects.

Image Captioning Language Modelling +4

Distance Weighted Supervised Learning for Offline Interaction Data

1 code implementation26 Apr 2023 Joey Hejna, Jensen Gao, Dorsa Sadigh

To bridge the gap between IL and RL, we introduce Distance Weighted Supervised Learning or DWSL, a supervised method for learning goal-conditioned policies from offline data.

Imitation Learning Reinforcement Learning (RL)

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning

no code implementations5 Feb 2022 Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

Building assistive interfaces for controlling robots through arbitrary, high-dimensional, noisy inputs (e. g., webcam images of eye gaze) can be challenging, especially when it involves inferring the user's desired action in the absence of a natural 'default' interface.

reinforcement-learning Reinforcement Learning (RL)

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