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Career

· PhD Student, Berkeley Artificial Intelligence Research (BAIR)2022–
· Bachelor of Science in Computer Science and Mathematics, Stanford University2018–2022
· Undergraduate Student, Stanford University2018–2022

Publications (33)

BridgeData V2: A Dataset for Robot Learning at Scale
Conference on Robot Learning · 2023
489
cited
Learning Multimodal Rewards from Rankings
Conference on Robot Learning · 2021
59
cited
Goal Representations for Instruction Following: A Semi-Supervised Language Interface to Control
Conference on Robot Learning · 2023
38
cited
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making
International Conference on Machine Learning · 2024
32
cited
Policy Adaptation via Language Optimization: Decomposing Tasks for Few-Shot Imitation
Conference on Robot Learning · 2024
24
cited
Effective Surrogate Models for Protein Design with Bayesian Optimization
2021
21
cited
Toward Grounded Commonsense Reasoning
IEEE International Conference on Robotics and Automation · 2023
18
cited
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
Neural Information Processing Systems · 2024
17
cited
Active Reward Learning from Online Preferences
IEEE International Conference on Robotics and Automation · 2023
16
cited
Accelerating Goal-Conditioned RL Algorithms and Research
arXiv.org · 2024
14
cited
Learning to Assist Humans without Inferring Rewards
Neural Information Processing Systems · 2024
10
cited
Horizon Generalization in Reinforcement Learning
International Conference on Learning Representations · 2025
8
cited
Bayesian Meta-Learning Through Variational Gaussian Processes
arXiv.org · 2021
7
cited
Accelerating Goal-Conditioned Reinforcement Learning Algorithms and Research
International Conference on Learning Representations · 2025
3
cited
Video-Guided Skill Discovery
3
cited
Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain Stimulation
International Conference on Machine Learning · 2024
2
cited
A Hierarchical Approach to Scaling Batch Active Search Over Structured Data
arXiv.org · 2020
1
cited
Multi-Agent Inverse Q-Learning from Demonstrations
IEEE International Conference on Robotics and Automation · 2025
1
cited
Multistep Quasimetric Learning for Scalable Goal-conditioned Reinforcement Learning
arXiv.org · 2025
1
cited
Training LLM Agents to Empower Humans
arXiv.org · 2025
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