CoRR, January, 2025

2024

Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models.

[DOI]

Trans. Mach. Learn. Res., 2024

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability.

[DOI]

CoRR, 2024

Semi-Supervised One Shot Imitation Learning.

RLJ, 2024

Generative Hierarchical Materials Search.

[DOI]

Danilo Jimenez Rezende

Dale Schuurmans

Nur Muhammad (Mahi) Shafiullah

Ekin Dogus Cubuk

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

[DOI]

Henrik I. Christensen

Keerthana Gopalakrishnan

Lawrence Yunliang Chen

Roberto Martín-Martín

Subramanian Ramamoorthy

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Improving Factuality and Reasoning in Language Models through Multiagent Debate.

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Diffusion for Materials Generation.

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy.

[DOI]

CoRR, 2023

Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5?

[DOI]

CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

[DOI]

CoRR, 2023

Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning.

[DOI]

Satoshi Kataoka

Youngseog Chung

Seyed Kamyar Seyed Ghasemipour

Pannag Sanketi

Shixiang Shane Gu

Alexander Sasha Vezhnevets

CoRR, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control.

[DOI]

CoRR, 2023

RT-1: Robotics Transformer for Real-World Control at Scale.

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Masked Trajectory Models for Prediction, Representation, and Control.

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Multi-Environment Pretraining Enables Transfer to Action Limited Datasets.

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

PaLM-E: An Embodied Multimodal Language Model.

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Composing Ensembles of Pre-trained Models via Iterative Consensus.

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition.

[DOI]

Peter Sunehag

Edgar A. Duéñez-Guzmán

Alexander Sasha Vezhnevets

Joel Z. Leibo

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Melting Pot 2.0.

[DOI]

John P. Agapiou

Edgar A. Duéñez-Guzmán

Michael Bradley Johanson

CoRR, 2022

VeLO: Training Versatile Learned Optimizers by Scaling Up.

[DOI]

Jascha Sohl-Dickstein

CoRR, 2022

FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners.

[DOI]

CoRR, 2022

Implicit Offline Reinforcement Learning via Supervised Learning.

[DOI]

CoRR, 2022

Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning.

[DOI]

Satoshi Kataoka

Seyed Kamyar Seyed Ghasemipour

C. Daniel Freeman

Seyed Kamyar Seyed Ghasemipour

CoRR, 2022

Pre-Trained Language Models for Interactive Decision-Making.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Game Decision Transformers.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Learning Iterative Reasoning through Energy Minimization.

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Inner Monologue: Embodied Reasoning through Planning with Language Models.

[DOI]

Proceedings of the Conference on Robot Learning, 2022

Energy-Based Models for Continual Learning.

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Frozen Pretrained Transformers as Universal Computation Engines.

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning.

[DOI]

CoRR, 2021

Pretrained Transformers as Universal Computation Engines.

[DOI]

CoRR, 2021

The Neural MMO Platform for Massively Multiagent Research.

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation.

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Unsupervised Learning of Compositional Energy Concepts.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Decision Transformer: Reinforcement Learning via Sequence Modeling.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Model-Based Reinforcement Learning via Latent-Space Collocation.

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot.

[DOI]

Joel Z. Leibo

Edgar A. Duéñez-Guzmán

Proceedings of the 38th International Conference on Machine Learning, 2021

Improved Contrastive Divergence Training of Energy-Based Models.

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Reset-Free Lifelong Learning with Skill-Space Planning.

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Implicit Behavioral Cloning.

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Energy-Based Models for Continual Learning.

[DOI]

CoRR, 2020

Rearrangement: A Challenge for Embodied AI.

[DOI]

CoRR, 2020

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

[DOI]

Michael Janner

Sergey Levine

CoRR, 2020

Compositional Visual Generation and Inference with Energy Based Models.

[DOI]

Shuang Li

CoRR, 2020

Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction.

[DOI]

Michael Janner

Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Compositional Visual Generation with Energy Based Models.

[DOI]

Shuang Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

A Game Theoretic Framework for Model Based Reinforcement Learning.

[DOI]

Aravind Rajeswaran

Vikash Kumar

Proceedings of the 37th International Conference on Machine Learning, 2020

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

[DOI]

Wenlong Huang

Deepak Pathak

Proceedings of the 37th International Conference on Machine Learning, 2020

Emergent Tool Use From Multi-Agent Autocurricula.

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks.

[DOI]

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Adaptive Online Planning for Continual Lifelong Learning.

[DOI]

Kevin Lu

CoRR, 2019

Implicit Generation and Generalization in Energy-Based Models.

[DOI]

CoRR, 2019

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

[DOI]

CoRR, 2019

Implicit Generation and Modeling with Energy Based Models.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

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

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Skill emergence and transfer in multi-agent environments.

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Multi-Agent Reinforcement Learning with Multi-Step Generative Models.

[DOI]

Orr Krupnik

Aviv Tamar

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Model-Based Planning with Energy-Based Models.

[DOI]

Toru Lin

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines.

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Concept Learning with Energy-Based Models.

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Emergent Complexity via Multi-Agent Competition.

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments.

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning with Opponent-Learning Awareness.

[DOI]

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Emergence of Grounded Compositional Language in Multi-Agent Populations.

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Interpretable and Pedagogical Examples.

[DOI]

Smitha Milli

CoRR, 2017

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

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Prediction and Control with Temporal Segment Models.

[DOI]

Nikhil Mishra

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

A Paradigm for Situated and Goal-Driven Language Learning.

[DOI]

Jon Gauthier

CoRR, 2016

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

[DOI]

CoRR, 2016

Combining model-based policy search with online model learning for control of physical humanoids.

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Automated Discovery and Learning of Complex Movement Behaviors.

[DOI]

PhD thesis, 2015

Interactive Control of Diverse Complex Characters with Neural Networks.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids.

[DOI]

Kendall Lowrey

Emanuel Todorov

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Physics-based trajectory optimization for grasping in cluttered environments.

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Combining the benefits of function approximation and trajectory optimization.

[DOI]

Emo Todorov

Proceedings of the Robotics: Science and Systems X, 2014

2013

Animating human lower limbs using contact-invariant optimization.

[DOI]

ACM Trans. Graph., 2013

Stylizing animation by example.

[DOI]

Martin Sebastian Senn

Kurt W. Fleischer

Davide Pesare

Katherine Breeden

ACM Trans. Graph., 2013

2012

Discovery of complex behaviors through contact-invariant optimization.

[DOI]

Emanuel Todorov

Zoran Popovic

ACM Trans. Graph., 2012

Contact-Invariant Optimization for Hand Manipulation.

[DOI]

Zoran Popovic

Emanuel Todorov

Proceedings of the 2012 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2012

2010

Robust physics-based locomotion using low-dimensional planning.

[DOI]

Martin de Lasa

Aaron Hertzmann

ACM Trans. Graph., 2010

Feature-based locomotion controllers.

[DOI]

Martin de Lasa

Aaron Hertzmann

ACM Trans. Graph., 2010

2009

Multiscale 3D navigation.

[DOI]

Proceedings of the 2009 Symposium on Interactive 3D Graphics, 2009

2008

ViewCube: a 3D orientation indicator and controller.

[DOI]

Azam Khan