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Pretrained Transformers as Universal Computation Engines


Mar 09, 2021
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch


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Reset-Free Lifelong Learning with Skill-Space Planning


Jan 01, 2021
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

* Website link: https://sites.google.com/berkeley.edu/reset-free-lifelong-learning 

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Improved Contrastive Divergence Training of Energy Based Models


Dec 17, 2020
Yilun Du, Shuang Li, Joshua Tenenbaum, Igor Mordatch

* Project webpage at https://energy-based-model.github.io/improved-contrastive-divergence 

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Energy-Based Models for Continual Learning


Nov 24, 2020
Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch


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Rearrangement: A Challenge for Embodied AI


Nov 03, 2020
Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su

* Authors are listed in alphabetical order 

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$γ$-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction


Oct 27, 2020
Michael Janner, Igor Mordatch, Sergey Levine

* NeurIPS 2020. Project page at: https://people.eecs.berkeley.edu/~janner/gamma-models/ 

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One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control


Jul 09, 2020
Wenlong Huang, Igor Mordatch, Deepak Pathak

* Accepted at ICML 2020. Videos and code at https://huangwl18.github.io/modular-rl/ 

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A Game Theoretic Framework for Model Based Reinforcement Learning


Apr 16, 2020
Aravind Rajeswaran, Igor Mordatch, Vikash Kumar

* Project webpage: https://sites.google.com/view/mbrl-game 

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Compositional Visual Generation and Inference with Energy Based Models


Apr 13, 2020
Yilun Du, Shuang Li, Igor Mordatch

* Website at https://energy-based-model.github.io/compositional-generation-inference/ 

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Adaptive Online Planning for Continual Lifelong Learning


Dec 03, 2019
Kevin Lu, Igor Mordatch, Pieter Abbeel

* NeurIPS Deep RL 2019 

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Emergent Tool Use From Multi-Agent Autocurricula


Sep 17, 2019
Bowen Baker, Ingmar Kanitscheider, Todor Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch


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Model Based Planning with Energy Based Models


Sep 15, 2019
Yilun Du, Toru Lin, Igor Mordatch

* CoRL 2019 

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Implicit Generation and Generalization in Energy-Based Models


Mar 20, 2019
Yilun Du, Igor Mordatch


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Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents


Mar 02, 2019
Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch


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Multi Agent Reinforcement Learning with Multi-Step Generative Models


Jan 29, 2019
Orr Krupnik, Igor Mordatch, Aviv Tamar


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Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control


Jan 28, 2019
Kendall Lowrey, Aravind Rajeswaran, Sham Kakade, Emanuel Todorov, Igor Mordatch

* The first two authors contributed equally. Accepted at ICLR 2019. Supplementary videos available at: https://sites.google.com/view/polo-mpc 

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Concept Learning with Energy-Based Models


Nov 06, 2018
Igor Mordatch


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Learning with Opponent-Learning Awareness


Sep 19, 2018
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch


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Emergence of Grounded Compositional Language in Multi-Agent Populations


Jul 24, 2018
Igor Mordatch, Pieter Abbeel


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Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines


Mar 20, 2018
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel

* Accepted to ICLR 2018, Oral (2%) 

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Emergent Complexity via Multi-Agent Competition


Mar 14, 2018
Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch

* Published as a conference paper at ICLR 2018 

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Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments


Feb 23, 2018
Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel

* Published as a conference paper at ICLR 2018 

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Interpretable and Pedagogical Examples


Feb 14, 2018
Smitha Milli, Pieter Abbeel, Igor Mordatch


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Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments


Jan 16, 2018
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch


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Prediction and Control with Temporal Segment Models


Jul 13, 2017
Nikhil Mishra, Pieter Abbeel, Igor Mordatch

* camera-ready version, ICML 2017 

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A Paradigm for Situated and Goal-Driven Language Learning


Oct 12, 2016
Jon Gauthier, Igor Mordatch

* 5 pages, submitted to Machine Intelligence @ NIPS workshop 

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Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model


Oct 11, 2016
Paul Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba


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