W. Bradley Knox

7 papers at tracked venues · 7 at CORE A* · active 2024–2026

Venues

Scott Niekum

×3

Juyong Lee

×2

Kimin Lee

×2

Joey Hejna

×2

Rafael Rafailov

×2

Harshit Sikchi

×2

Chelsea Finn

×2

Peter Stone

×2

Dongyoon Hahm

×1

June Suk Choi

×1

Juheon Choi

×1

Jian Kim

×1

MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control
AAAI 2026 ·
Juyong Lee
,
Dongyoon Hahm
,
June Suk Choi
, W. Bradley Knox,
Kimin Lee
State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Living
CHI 2026 ·
Juheon Choi
,
Juyong Lee
,
Jian Kim
,
Chanyoung Kim
,
Taywon Min
, W. Bradley Knox,
Min Kyung Lee
,
Kimin Lee
Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
ICLR 2025 ·
Michael J. Q. Zhang
, W. Bradley Knox,
Eunsol Choi
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning
ICLR 2024 ·
Joey Hejna
,
Rafael Rafailov
,
Harshit Sikchi
,
Chelsea Finn
,
Scott Niekum
, W. Bradley Knox,
Dorsa Sadigh
Learning Optimal Advantage from Preferences and Mistaking It for Reward
AAAI 2024 · W. Bradley Knox,
Stephane Hatgis-Kessell
,
Sigurdur O. Adalgeirsson
,
Serena Booth
,
Anca D. Dragan
,
Peter Stone
,
Scott Niekum
Reward (Mis)design for Autonomous Driving (Abstract Reprint)
AAAI 2024 · W. Bradley Knox,
Alessandro Allievi
,
Holger Banzhaf
,
Felix Schmitt
,
Peter Stone
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms
NeurIPS 2024 ·
Rafael Rafailov
,
Yaswanth Chittepu
,
Ryan Park
,
Harshit Sikchi
,
Joey Hejna
, W. Bradley Knox,
Chelsea Finn
,
Scott Niekum