Daniel S. Brown

12 papers · 2018–2025 · 5 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (5) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)

🌍 Conference Polyglot (5) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (8) 🧬 Topic Evolution 🗃️ Keyword Collector (57) 💎 Century Club (12) 📈 Trend Setter 🚀 Conference Pioneer

Conferences

CORL (6) AAAI (3) ICLR (1) ICML (1) L4DC (1)

Top co-authors

Anca Dragan (4) Jerry Zhi-Yang He (3) Scott Niekum (3) Zackory Erickson (3) Aditi Raghunathan (2) Anca D. Dragan (2) Ashwin Balakrishna (1) Ryan Hoque (1) Yuchen Cui (1) Wonjoon Goo (1)

Keywords

inverse reinforcement learning (5) reward function (3) preference learning (3) imitation learning (2) policy learning (2) active learning (2) human feedback (2) interactive learning (1) sim-to-real transfer (1) reinforcement learning (1) epistemic uncertainty (1) autonomous driving (1) optimal control (1) model predictive control (1) feature selection (1) domain randomization (1) human-robot interaction (1) bayesian inference (1) out-of-distribution generalization (1) budget-aware learning (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 Quantifying Assistive Robustness Via the Natural-Adversarial Frontier CORL 2023 Contextual Reliability: When Different Features Matter in Different Contexts ICML 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 Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019 Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrations CORL 2019 Risk-Aware Active Inverse Reinforcement Learning CORL 2018