Daniel S. Brown
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(67)
π
Trend Setter
π
Century Club Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types
(8)
Reinforcement Learning
(6)
Methods
(4)
Learning Paradigms
(3)
Optimization & Theory
(3)
Robotics
(2)
Application Areas
(2)
Applications
(2)
Capabilities
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Keywords
inverse reinforcement learning
(5)
preference learning
(3)
reward function
(3)
policy learning
(2)
out-of-distribution generalization
(2)
active learning
(2)
imitation learning
(2)
spurious correlation
(2)
human feedback
(2)
interactive learning
(1)
epistemic uncertainty
(1)
sim-to-real transfer
(1)
autonomous driving
(1)
reinforcement learning
(1)
uncertainty quantification
(1)
domain randomization
(1)
feature selection
(1)
human-robot interaction
(1)
bayesian inference
(1)
model predictive control
(1)
Papers
Agreement Volatility: A Second-Order Metric for Uncertainty Quantification in Surgical Robot Learning
CoRL 2025
Leveraging Human Input to Enable Robust, Interactive, and Aligned AI Systems
AAAI 2025
Causal Confusion and Reward Misidentification in Preference-Based Reward Learning
ICLR 2023
Contextual Reliability: When Different Features Matter in Different Contexts
ICML 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
CoRL 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types
AAAI 2023
Learning Representations that Enable Generalization in Assistive Tasks
CoRL 2022
Optimal Cost Design for Model Predictive Control
L4DC 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning
CoRL 2021
Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations
CoRL 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications
AAAI 2019
Risk-Aware Active Inverse Reinforcement Learning
CoRL 2018