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Learning to interact: PARTIAL OBSERVABILITY The actions you take as part of the task are the queries!
Anca Dragan
Author Information
Anca Dragan (University of California, Berkeley)
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2022 : A Study of Causal Confusion in Preference-Based Reward Learning »
Jeremy Tien · Zhiyang He · Zackory Erickson · Anca Dragan · Daniel S Brown -
2023 : Preventing Reward Hacking with Occupancy Measure Regularization »
Cassidy Laidlaw · Shivam Singhal · Anca Dragan -
2023 : Preventing Reward Hacking with Occupancy Measure Regularization »
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2023 : Video-Guided Skill Discovery »
Manan Tomar · Dibya Ghosh · Vivek Myers · Anca Dragan · Matthew Taylor · Philip Bachman · Sergey Levine -
2023 Workshop: Interactive Learning with Implicit Human Feedback »
Andi Peng · Akanksha Saran · Andreea Bobu · Tengyang Xie · Pierre-Yves Oudeyer · Anca Dragan · John Langford -
2023 : Bridging RL Theory and Practice with the Effective Horizon »
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2023 : Learning Optimal Advantage from Preferences and Mistaking it for Reward »
William Knox · Stephane Hatgis-Kessell · Sigurdur Adalgeirsson · Serena Booth · Anca Dragan · Peter Stone · Scott Niekum -
2023 Poster: Contextual Reliability: When Different Features Matter in Different Contexts »
Gaurav Ghosal · Amrith Setlur · Daniel S Brown · Anca Dragan · Aditi Raghunathan -
2023 Poster: Automatically Auditing Large Language Models via Discrete Optimization »
Erik Jones · Anca Dragan · Aditi Raghunathan · Jacob Steinhardt -
2022 Poster: Estimating and Penalizing Induced Preference Shifts in Recommender Systems »
Micah Carroll · Anca Dragan · Stuart Russell · Dylan Hadfield-Menell -
2022 Spotlight: Estimating and Penalizing Induced Preference Shifts in Recommender Systems »
Micah Carroll · Anca Dragan · Stuart Russell · Dylan Hadfield-Menell -
2022 : Learning to interact: PARTIAL OBSERVABILITY + GAME Theory of mind on steroids »
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2022 : Q&A »
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2022 Tutorial: Learning for Interactive Agents »
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2022 : Learning objectives and preferences: WHAT DATA? From diverse types of human data »
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2021 Poster: Policy Gradient Bayesian Robust Optimization for Imitation Learning »
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg -
2021 Spotlight: Policy Gradient Bayesian Robust Optimization for Imitation Learning »
Zaynah Javed · Daniel Brown · Satvik Sharma · Jerry Zhu · Ashwin Balakrishna · Marek Petrik · Anca Dragan · Ken Goldberg -
2021 Poster: Value Alignment Verification »
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum -
2021 Spotlight: Value Alignment Verification »
Daniel Brown · Jordan Schneider · Anca Dragan · Scott Niekum -
2020 : Invited Talk 7: Prof. Anca Dragan from UC Berkeley »
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2020 : "Active Learning through Physically-embodied, Synthesized-from-“scratch” Queries" »
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2020 Poster: Learning Human Objectives by Evaluating Hypothetical Behavior »
Siddharth Reddy · Anca Dragan · Sergey Levine · Shane Legg · Jan Leike -
2019 Poster: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan -
2019 Oral: On the Feasibility of Learning, Rather than Assuming, Human Biases for Reward Inference »
Rohin Shah · Noah Gundotra · Pieter Abbeel · Anca Dragan -
2019 Poster: Learning a Prior over Intent via Meta-Inverse Reinforcement Learning »
Kelvin Xu · Ellis Ratner · Anca Dragan · Sergey Levine · Chelsea Finn -
2019 Oral: Learning a Prior over Intent via Meta-Inverse Reinforcement Learning »
Kelvin Xu · Ellis Ratner · Anca Dragan · Sergey Levine · Chelsea Finn -
2018 Poster: An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning »
Dhruv Malik · Malayandi Palaniappan · Jaime Fisac · Dylan Hadfield-Menell · Stuart Russell · Anca Dragan -
2018 Oral: An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning »
Dhruv Malik · Malayandi Palaniappan · Jaime Fisac · Dylan Hadfield-Menell · Stuart Russell · Anca Dragan