Daniel Brown
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (6) π Cross-Pollinator (12)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(18)
π£
Hot Topic Early Bird
Conferences
ICML (2)
NIPS (2)
ACL (1)
CORL (1)
CVPR (1)
Top co-authors
Keywords
imitation learning
(3)
reinforcement learning
(2)
vision transformer
(1)
risk management
(1)
bayesian inference
(1)
sequential decision making
(1)
preference learning
(1)
self-supervised learning
(1)
factual accuracy
(1)
inverse reinforcement learning
(1)
reinforcement learning from human feedback
(1)
robotic grasping
(1)
markov decision process
(1)
continuous control
(1)
high-dimensional control
(1)
reward function
(1)
demonstration learning
(1)
reward learning
(1)
multi-armed bandit
(1)
reward hacking
(1)
Papers
BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment
CVPR 2025
Reliability Check: An Analysis of GPT-3βs Response to Sensitive Topics and Prompt Wording
ACL 2023
Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations
NIPS 2022
Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects
CORL 2020
Bayesian Robust Optimization for Imitation Learning
NIPS 2020
Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences
ICML 2020
Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations
ICML 2019