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Author Information
Chelsea Finn (Google Brain)
Thomas Dietterich (Oregon State University)
Tom Dietterich (AB Oberlin College 1977; MS University of Illinois 1979; PhD Stanford University 1984) is Professor and Director of Intelligent Systems Research at Oregon State University. Among his contributions to machine learning research are (a) the formalization of the multiple-instance problem, (b) the development of the error-correcting output coding method for multi-class prediction, (c) methods for ensemble learning, (d) the development of the MAXQ framework for hierarchical reinforcement learning, and (e) the application of gradient tree boosting to problems of structured prediction and latent variable models. Dietterich has pursued application-driven fundamental research in many areas including drug discovery, computer vision, computational sustainability, and intelligent user interfaces. Dietterich has served the machine learning community in a variety of roles including Executive Editor of the Machine Learning journal, co-founder of the Journal of Machine Learning Research, editor of the MIT Press Book Series on Adaptive Computation and Machine Learning, and editor of the Morgan-Claypool Synthesis series on Artificial Intelligence and Machine Learning. He was Program Co-Chair of AAAI-1990, Program Chair of NIPS-2000, and General Chair of NIPS-2001. He was first President of the International Machine Learning Society (the parent organization of ICML) and served a term on the NIPS Board of Trustees and the Council of AAAI.
Angela Schoellig (University of Toronto)
Anca Dragan (UC Berkeley)
Anusha Nagabandi (UC Berkeley)
Doina Precup (DeepMind)
More from the Same Authors
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2021 : Tutorial: Safe Learning for Decision Making »
Angela Schoellig · SiQi Zhou · Lukas Brunke · Animesh Garg · Melissa Greeff · Somil Bansal -
2021 : B-Pref: Benchmarking Preference-Based Reinforcement Learning »
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2021 Spotlight: Flexible Option Learning »
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2021 Spotlight: Pragmatic Image Compression for Human-in-the-Loop Decision-Making »
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2021 : Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations »
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2021 : Extending the WILDS Benchmark for Unsupervised Adaptation »
Shiori Sagawa · Pang Wei Koh · Tony Lee · Irena Gao · Sang Michael Xie · Kendrick Shen · Ananya Kumar · Weihua Hu · Michihiro Yasunaga · Henrik Marklund · Sara Beery · Ian Stavness · Jure Leskovec · Kate Saenko · Tatsunori Hashimoto · Sergey Levine · Chelsea Finn · Percy Liang -
2021 : Test Time Robustification of Deep Models via Adaptation and Augmentation »
Marvin Zhang · Sergey Levine · Chelsea Finn -
2021 : The Reflective Explorer: Online Meta-Exploration from Offline Data in Realistic Robotic Tasks »
Rafael Rafailov · · Tianhe Yu · Avi Singh · Mariano Phielipp · Chelsea Finn -
2021 : Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning »
Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Chelsea Finn · Sergey Levine · Karol Hausman -
2021 : Policy Gradients Incorporating the Future »
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2021 : CoMPS: Continual Meta Policy Search »
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2021 : A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning »
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2021 : Discriminator Augmented Model-Based Reinforcement Learning »
Allan Zhou · Archit Sharma · Chelsea Finn -
2022 : Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection »
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig -
2022 : Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection »
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig -
2022 : Time-Efficient Reward Learning via Visually Assisted Cluster Ranking »
David Zhang · Micah Carroll · Andreea Bobu · Anca Dragan -
2022 : Optimal Behavior Prior: Data-Efficient Human Models for Improved Human-AI Collaboration »
Mesut Yang · Micah Carroll · Anca Dragan -
2022 : Aligning Robot Representations with Humans »
Andreea Bobu · Andi Peng · Pulkit Agrawal · Julie A Shah · Anca Dragan -
2022 Workshop: 5th Robot Learning Workshop: Trustworthy Robotics »
Alex Bewley · Roberto Calandra · Anca Dragan · Igor Gilitschenski · Emily Hannigan · Masha Itkina · Hamidreza Kasaei · Jens Kober · Danica Kragic · Nathan Lambert · Julien PEREZ · Fabio Ramos · Ransalu Senanayake · Jonathan Tompson · Vincent Vanhoucke · Markus Wulfmeier -
2022 : Anca Dragan: Learning human preferences from language »
Anca Dragan -
2022 : Characterising the Robustness of Reinforcement Learning for Continuous Control using Disturbance Injection »
Catherine Glossop · Jacopo Panerati · Amrit Krishnan · Zhaocong Yuan · Angela Schoellig -
2022 Poster: First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization »
Siddharth Reddy · Sergey Levine · Anca Dragan -
2022 Poster: Uni[MASK]: Unified Inference in Sequential Decision Problems »
Micah Carroll · Orr Paradise · Jessy Lin · Raluca Georgescu · Mingfei Sun · David Bignell · Stephanie Milani · Katja Hofmann · Matthew Hausknecht · Anca Dragan · Sam Devlin -
2021 : Concluding Remarks »
Angela Schoellig · Lukas Brunke -
2021 : Invited Speaker Panel »
Sham Kakade · Minmin Chen · Philip Thomas · Angela Schoellig · Barbara Engelhardt · Doina Precup · George Tucker -
2021 : Panel II: Machine decisions »
Anca Dragan · Karen Levy · Himabindu Lakkaraju · Ariel Rosenfeld · Maithra Raghu · Irene Y Chen -
2021 : Offline RL for Robotics »
Angela Schoellig -
2021 : Panel A: Deployable Learning Algorithms for Embodied Systems »
Shuran Song · Martin Riedmiller · Nick Roy · Aude G Billard · Angela Schoellig · SiQi Zhou -
2021 Workshop: Deployable Decision Making in Embodied Systems (DDM) »
Angela Schoellig · Animesh Garg · Somil Bansal · SiQi Zhou · Melissa Greeff · Lukas Brunke -
2021 : Opening Remarks & Introduction »
Angela Schoellig · Somil Bansal -
2021 Poster: On the Expressivity of Markov Reward »
David Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh -
2021 : BASALT: A MineRL Competition on Solving Human-Judged Task + Q&A »
Rohin Shah · Cody Wild · Steven Wang · Neel Alex · Brandon Houghton · William Guss · Sharada Mohanty · Stephanie Milani · Nicholay Topin · Pieter Abbeel · Stuart Russell · Anca Dragan -
2021 Poster: Gradient Starvation: A Learning Proclivity in Neural Networks »
Mohammad Pezeshki · Oumar Kaba · Yoshua Bengio · Aaron Courville · Doina Precup · Guillaume Lajoie -
2021 Poster: Flexible Option Learning »
Martin Klissarov · Doina Precup -
2021 Poster: Pragmatic Image Compression for Human-in-the-Loop Decision-Making »
Sid Reddy · Anca Dragan · Sergey Levine -
2021 Poster: A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning »
Mingde Zhao · Zhen Liu · Sitao Luan · Shuyuan Zhang · Doina Precup · Yoshua Bengio -
2021 Poster: Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation »
Emmanuel Bengio · Moksh Jain · Maksym Korablyov · Doina Precup · Yoshua Bengio -
2021 Poster: Temporally Abstract Partial Models »
Khimya Khetarpal · Zafarali Ahmed · Gheorghe Comanici · Doina Precup -
2021 Oral: On the Expressivity of Markov Reward »
David Abel · Will Dabney · Anna Harutyunyan · Mark Ho · Michael Littman · Doina Precup · Satinder Singh -
2020 : Keynote: Anca Dragan »
Anca Dragan -
2020 : Keynote: Angela Schoellig »
Angela Schoellig -
2020 : Keynote: Chelsea Finn »
Chelsea Finn -
2020 : Keynote: Tom Diettrich »
Thomas Dietterich -
2020 Workshop: The Challenges of Real World Reinforcement Learning »
Daniel Mankowitz · Gabriel Dulac-Arnold · Shie Mannor · Omer Gottesman · Anusha Nagabandi · Doina Precup · Timothy A Mann · Gabriel Dulac-Arnold -
2020 : Panel discussion »
Pierre-Yves Oudeyer · Marc Bellemare · Peter Stone · Matt Botvinick · Susan Murphy · Anusha Nagabandi · Ashley Edwards · Karen Liu · Pieter Abbeel -
2020 : Invited talk: Anusha Nagabandi "Model-based Deep Reinforcement Learning for Robotic Systems" »
Anusha Nagabandi -
2020 : Invited Talk: Angela Schoellig »
Angela Schoellig -
2020 Poster: Value-driven Hindsight Modelling »
Arthur Guez · Fabio Viola · Theophane Weber · Lars Buesing · Steven Kapturowski · Doina Precup · David Silver · Nicolas Heess -
2020 : Q&A for invited speaker, Anca Dragan »
Anca Dragan -
2020 : Getting human-robot interaction strategies to emerge from first principles »
Anca Dragan -
2020 Poster: AvE: Assistance via Empowerment »
Yuqing Du · Stas Tiomkin · Emre Kiciman · Daniel Polani · Pieter Abbeel · Anca Dragan -
2020 Poster: Reward-rational (implicit) choice: A unifying formalism for reward learning »
Hong Jun Jeon · Smitha Milli · Anca Dragan -
2020 Poster: Preference learning along multiple criteria: A game-theoretic perspective »
Kush Bhatia · Ashwin Pananjady · Peter Bartlett · Anca Dragan · Martin Wainwright -
2020 Poster: On Efficiency in Hierarchical Reinforcement Learning »
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh -
2020 Poster: Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model »
Alex X. Lee · Anusha Nagabandi · Pieter Abbeel · Sergey Levine -
2020 Spotlight: On Efficiency in Hierarchical Reinforcement Learning »
Zheng Wen · Doina Precup · Morteza Ibrahimi · Andre Barreto · Benjamin Van Roy · Satinder Singh -
2019 : AI and Sustainable Development »
Fei Fang · Carla Gomes · Miguel Luengo-Oroz · Thomas Dietterich · Julien Cornebise -
2019 : Automated Quality Control for a Weather Sensor Network »
Thomas Dietterich -
2019 : Invited Talk - Angela Schoellig »
Angela Schoellig -
2019 : Poster Session »
Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn -
2019 Workshop: Machine Learning for Autonomous Driving »
Rowan McAllister · Nicholas Rhinehart · Fisher Yu · Li Erran Li · Anca Dragan -
2019 Demonstration: The Option Keyboard: Combining Skills in Reinforcement Learning »
Daniel Toyama · Shaobo Hou · Gheorghe Comanici · Andre Barreto · Doina Precup · Shibl Mourad · Eser Aygün · Philippe Hamel -
2019 Poster: Language as an Abstraction for Hierarchical Deep Reinforcement Learning »
YiDing Jiang · Shixiang (Shane) Gu · Kevin Murphy · Chelsea Finn -
2019 Poster: The Option Keyboard: Combining Skills in Reinforcement Learning »
Andre Barreto · Diana Borsa · Shaobo Hou · Gheorghe Comanici · Eser Aygün · Philippe Hamel · Daniel Toyama · jonathan j hunt · Shibl Mourad · David Silver · Doina Precup -
2019 Poster: On the Utility of Learning about Humans for Human-AI Coordination »
Micah Carroll · Rohin Shah · Mark Ho · Tom Griffiths · Sanjit Seshia · Pieter Abbeel · Anca Dragan -
2019 Poster: Hindsight Credit Assignment »
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos -
2019 Spotlight: Hindsight Credit Assignment »
Anna Harutyunyan · Will Dabney · Thomas Mesnard · Mohammad Gheshlaghi Azar · Bilal Piot · Nicolas Heess · Hado van Hasselt · Gregory Wayne · Satinder Singh · Doina Precup · Remi Munos -
2018 : Anca Dragan »
Anca Dragan -
2018 : Learning to Adapt in Dynamic, Real-World Environments via Meta-Reinforcement Learning »
Anusha Nagabandi -
2018 : Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL »
Anusha Nagabandi -
2018 : Opening Remark »
Li Erran Li · Anca Dragan -
2018 Workshop: NIPS Workshop on Machine Learning for Intelligent Transportation Systems 2018 »
Li Erran Li · Anca Dragan · Juan Carlos Niebles · Silvio Savarese -
2018 : Anca Dragan »
Anca Dragan -
2018 Poster: Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior »
Sid Reddy · Anca Dragan · Sergey Levine -
2017 : Morning panel discussion »
Jürgen Schmidhuber · Noah Goodman · Anca Dragan · Pushmeet Kohli · Dhruv Batra -
2017 : "Communication via Physical Action" »
Anca Dragan -
2017 Workshop: 2017 NIPS Workshop on Machine Learning for Intelligent Transportation Systems »
Li Erran Li · Anca Dragan · Juan Carlos Niebles · Silvio Savarese -
2017 : Invited talk: Robot Transparency as Optimal Control »
Anca Dragan -
2017 Poster: Safe Model-based Reinforcement Learning with Stability Guarantees »
Felix Berkenkamp · Matteo Turchetta · Angela Schoellig · Andreas Krause -
2016 : Automated Data Cleaning via Multi-View Anomaly Detection »
Thomas Dietterich -
2016 : Learning Reliable Objectives »
Anca Dragan -
2016 : Invited Talk: Autonomous Cars that Coordinate with People (Anca Dragan, Berkeley) »
Anca Dragan -
2016 Poster: Cooperative Inverse Reinforcement Learning »
Dylan Hadfield-Menell · Stuart J Russell · Pieter Abbeel · Anca Dragan -
2014 Workshop: 3rd NIPS Workshop on Probabilistic Programming »
Daniel Roy · Josh Tenenbaum · Thomas Dietterich · Stuart J Russell · YI WU · Ulrik R Beierholm · Alp Kucukelbir · Zenna Tavares · Yura Perov · Daniel Lee · Brian Ruttenberg · Sameer Singh · Michael Hughes · Marco Gaboardi · Alexey Radul · Vikash Mansinghka · Frank Wood · Sebastian Riedel · Prakash Panangaden -
2014 Workshop: From Bad Models to Good Policies (Sequential Decision Making under Uncertainty) »
Odalric-Ambrym Maillard · Timothy A Mann · Shie Mannor · Jeremie Mary · Laurent Orseau · Thomas Dietterich · Ronald Ortner · Peter Grünwald · Joelle Pineau · Raphael Fonteneau · Georgios Theocharous · Esteban D Arcaute · Christos Dimitrakakis · Nan Jiang · Doina Precup · Pierre-Luc Bacon · Marek Petrik · Aviv Tamar -
2013 Workshop: Machine Learning for Sustainability »
Edwin Bonilla · Thomas Dietterich · Theodoros Damoulas · Andreas Krause · Daniel Sheldon · Iadine Chades · J. Zico Kolter · Bistra Dilkina · Carla Gomes · Hugo P Simao -
2012 Workshop: Human Computation for Science and Computational Sustainability »
Theodoros Damoulas · Thomas Dietterich · Edith Law · Serge Belongie -
2012 Poster: Probabilistic Topic Coding for Superset Label Learning »
Liping Liu · Thomas Dietterich -
2012 Invited Talk: Challenges for Machine Learning in Computational Sustainability »
Thomas Dietterich -
2011 Workshop: Machine Learning for Sustainability »
Thomas Dietterich · J. Zico Kolter · Matthew A Brown -
2011 Poster: Collective Graphical Models »
Daniel Sheldon · Thomas Dietterich -
2011 Poster: Inverting Grice's Maxims to Learn Rules from Natural Language Extractions »
M. Shahed Sorower · Thomas Dietterich · Janardhan Rao Doppa · Walker Orr · Prasad Tadepalli · Xiaoli Fern -
2009 Mini Symposium: Machine Learning for Sustainability »
J. Zico Kolter · Thomas Dietterich · Andrew Y Ng