91 citations · 242 across the 32 of their papers we have counts for
16 papers · 1 filter
B-Pref: Benchmarking Preference-Based Reinforcement Learning
Kimin Lee, Laura Smith, Anca Dragan +1
Reinforcement learning (RL) requires access to a reward function that incentivizes the right behavior, but these are notoriously hard to specify for complex tasks. Preference-based…
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
Ran Tian, Liting Sun, Andrea Bajcsy +2
An outstanding challenge with safety methods for human-robot interaction is reducing their conservatism while maintaining robustness to variations in human behavior. In this work,…
Pragmatic Image Compression for Human-in-the-Loop Decision-Making
Siddharth Reddy, Anca D. Dragan, Sergey Levine
Standard lossy image compression algorithms aim to preserve an image's appearance, while minimizing the number of bits needed to transmit it. However, the amount of information act…
Physical Interaction as Communication: Learning Robot Objectives Online from Human Corrections
Dylan P. Losey, Andrea Bajcsy, Marcia K. O'Malley +1
When a robot performs a task next to a human, physical interaction is inevitable: the human might push, pull, twist, or guide the robot. The state-of-the-art treats these interacti…
The MineRL BASALT Competition on Learning from Human Feedback
Rohin Shah, Cody Wild, Steven H. Wang +10
The last decade has seen a significant increase of interest in deep learning research, with many public successes that have demonstrated its potential. As such, these systems are n…
Policy Gradient Bayesian Robust Optimization for Imitation Learning
Zaynah Javed, Daniel S. Brown, Satvik Sharma +5
The difficulty in specifying rewards for many real-world problems has led to an increased focus on learning rewards from human feedback, such as demonstrations. However, there are…