James Harrison

Mihai Zanfir

Cristian Sminchisescu

CoRR, 2024

Offline Hierarchical Reinforcement Learning via Inverse Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Risk-Sensitive Soft Actor-Critic for Robust Deep Reinforcement Learning under Distribution Shifts.

[BibT_eX]

[DOI]

Tobias Enders

Maximilian Schiffer

CoRR, 2024

Universal Neural Functionals.

[BibT_eX]

[DOI]

Allan Zhou

Chelsea Finn

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

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments.

[BibT_eX]

[DOI]

Siddharth Nayak

Adelmo Morrison Orozco

Karthik Gopalakrishnan

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

Variational Bayesian Last Layers.

[BibT_eX]

[DOI]

John Willes

Jasper Snoek

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multivariate Analysis of Gaze Behavior and Task Performance Within Interface Design Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Hum. Mach. Syst., October, 2023

Noise-Reuse in Online Evolution Strategies.

[BibT_eX]

[DOI]

Oscar Li

Virginia Smith

CoRR, 2023

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies.

[BibT_eX]

[DOI]

Oscar Li

Virginia Smith

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

Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning.

[BibT_eX]

[DOI]

Boris Ivanovic

Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Graph Reinforcement Learning for Network Control via Bi-Level Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

2022

Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2022

General-Purpose In-Context Learning by Meta-Learning Transformers.

[BibT_eX]

[DOI]

Louis Kirsch

CoRR, 2022

Adaptive Robust Model Predictive Control via Uncertainty Cancellation.

[BibT_eX]

[DOI]

CoRR, 2022

VeLO: Training Versatile Learned Optimizers by Scaling Up.

[BibT_eX]

[DOI]

CoRR, 2022

A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases.

[BibT_eX]

[DOI]

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

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Practical Tradeoffs between Memory, Compute, and Performance in Learned Optimizers.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2022

Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2022

2021

On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation.

[BibT_eX]

[DOI]

CoRR, 2021

Network offloading policies for cloud robotics: a learning-based approach.

[BibT_eX]

[DOI]

Auton. Robots, 2021

Particle MPC for Uncertain and Learning-Based Control.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Deep Reinforcement Learning amidst Continual Structured Non-Stationarity.

[BibT_eX]

[DOI]

Annie Xie

Chelsea Finn

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

Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems.

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics.

[BibT_eX]

[DOI]

CoRR, 2020

Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Reinforcement Learning amidst Lifelong Non-Stationarity.

[BibT_eX]

[DOI]

Annie Xie

Chelsea Finn

CoRR, 2020

Continuous Meta-Learning without Tasks.

[BibT_eX]

[DOI]

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

2019

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Robust and Adaptive Planning under Model Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019

2018

Meta-learning Priors for Efficient Online Bayesian Regression.

[BibT_eX]

[DOI]

Apoorva Sharma

Marco Pavone

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

Learning Sampling Distributions for Robot Motion Planning.

[BibT_eX]

[DOI]

Brian Ichter

Marco Pavone

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

2015

Characterizing device dynamics for haptic manipulation and navigation.

[BibT_eX]

[DOI]

Colin R. Gallacher