Brown, Daniel

6 publications

CVPR 2025 BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment Runmin Jiang, Jackson Daggett, Shriya Pingulkar, Yizhou Zhao, Priyanshu Dhingra, Daniel Brown, Qifeng Wu, Xiangrui Zeng, Xingjian Li, Min Xu

NeurIPS 2022 Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations Albert Wilcox, Ashwin Balakrishna, Jules Dedieu, Wyame Benslimane, Daniel Brown, Ken Goldberg

NeurIPS 2020 Bayesian Robust Optimization for Imitation Learning Daniel Brown, Scott Niekum, Marek Petrik

CoRL 2020 Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects Michael Danielczuk, Ashwin Balakrishna, Daniel Brown, Ken Goldberg

ICML 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences Daniel Brown, Russell Coleman, Ravi Srinivasan, Scott Niekum

ICML 2019 Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations Daniel Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum