Lucas Janson

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Statistical Inference

Unknown Environments

Motion Planning

Top Venues

Publications

Biyonka Liang, Lily Xu, Aparna Taneja, Milind Tambe, Lucas Janson
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health. CoRR (2024)
Niclas Boehmer, Yash Nair, Sanket Shah, Lucas Janson, Aparna Taneja, Milind Tambe
Evaluating the Effectiveness of Index-Based Treatment Allocation. CoRR (2024)
Depen Morwani, Itai Shapira, Nikhil Vyas, Eran Malach, Sham M. Kakade, Lucas Janson
A New Perspective on Shampoo's Preconditioner. CoRR (2024)
Feicheng Wang, Lucas Janson
Rate-Matching the Regret Lower-Bound in the Linear Quadratic Regulator with Unknown Dynamics. CDC (2023)
Thomas Lew, Riccardo Bonalli, Lucas Janson, Marco Pavone
Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications. CoRR (2023)
Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. L4DC (2022)
Alexander Koenig, Zixi Liu, Lucas Janson, Robert Howe
The Role of Tactile Sensing in Learning and Deploying Grasp Refinement Algorithms. IROS (2022)
Feicheng Wang, Lucas Janson
Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics. CoRR (2022)
Kelly W. Zhang, Lucas Janson, Susan A. Murphy
Statistical Inference After Adaptive Sampling in Non-Markovian Environments. CoRR (2022)
Kelly W. Zhang, Lucas Janson, Susan A. Murphy
Statistical Inference with M-Estimators on Adaptively Collected Data. NeurIPS (2021)
Siyuan Ma, Boyu Ren, Himel Mallick, Yo Sup Moon, Emma Schwager, Sagun Maharjan, Timothy L. Tickle, Yiren Lu, Rachel N. Carmody, Eric A. Franzosa, Lucas Janson, Curtis Huttenhower
A statistical model for describing and simulating microbial community profiles. PLoS Comput. Biol. 17 (9) (2021)
Feicheng Wang, Lucas Janson
Exact Asymptotics for Linear Quadratic Adaptive Control. J. Mach. Learn. Res. 22 (2021)
Alexander Koenig, Zixi Liu, Lucas Janson, Robert Howe
Tactile Grasp Refinement using Deep Reinforcement Learning and Analytic Grasp Stability Metrics. CoRR (2021)
Thomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis. CoRR (2021)
Kelly W. Zhang, Lucas Janson, Susan A. Murphy
Statistical Inference with M-Estimators on Bandit Data. CoRR (2021)
Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey
Cross-validation Confidence Intervals for Test Error. CoRR (2020)
Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey
Cross-validation Confidence Intervals for Test Error. NeurIPS (2020)
Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone
Map-Predictive Motion Planning in Unknown Environments. ICRA (2020)
Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone
Revisiting the Asymptotic Optimality of RRT. ICRA (2020)
Kelly W. Zhang, Lucas Janson, Susan A. Murphy
Inference for Batched Bandits. CoRR (2020)
Kelly W. Zhang, Lucas Janson, Susan A. Murphy
Inference for Batched Bandits. NeurIPS (2020)
Feicheng Wang, Lucas Janson
Exact Asymptotics for Linear Quadratic Adaptive Control. CoRR (2020)
Kiril Solovey, Lucas Janson, Edward Schmerling, Emilio Frazzoli, Marco Pavone
Revisiting the Asymptotic Optimality of RRT. CoRR (2019)
Amine Elhafsi, Boris Ivanovic, Lucas Janson, Marco Pavone
Map-Predictive Motion Planning in Unknown Environments. CoRR (2019)
Lucas Janson, Brian Ichter, Marco Pavone
Deterministic sampling-based motion planning: Optimality, complexity, and performance. Int. J. Robotics Res. 37 (1) (2018)
Lucas Janson, Tommy Hu, Marco Pavone
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. CoRR (2018)
Lucas Janson, Tommy Hu, Marco Pavone
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies. Robotics: Science and Systems (2018)
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. J. Mach. Learn. Res. 18 (2017)
Lucas Janson, Edward Schmerling, Marco Pavone
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. ISRR (2) (2015)
Edward Schmerling, Lucas Janson, Marco Pavone
Optimal sampling-based motion planning under differential constraints: The driftless case. ICRA (2015)
Lucas Janson, Edward Schmerling, Marco Pavone
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty. CoRR (2015)
Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone
An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning. CoRR (2015)
Lucas Janson, Brian Ichter, Marco Pavone
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. ISRR (2) (2015)
Joseph A. Starek, Javier V. Gómez, Edward Schmerling, Lucas Janson, Luis Moreno, Marco Pavone
An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning. IROS (2015)
Lucas Janson, Brian Ichter, Marco Pavone
Deterministic Sampling-Based Motion Planning: Optimality, Complexity, and Performance. CoRR (2015)
Lucas Janson, Edward Schmerling, Ashley A. Clark, Marco Pavone
Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions. Int. J. Robotics Res. 34 (7) (2015)
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson, Marco Pavone
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria. CoRR (2015)
Edward Schmerling, Lucas Janson, Marco Pavone
Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics. CDC (2015)
Edward Schmerling, Lucas Janson, Marco Pavone
Optimal Sampling-Based Motion Planning under Differential Constraints: the Drift Case with Linear Affine Dynamics. CoRR (2014)
Edward Schmerling, Lucas Janson, Marco Pavone
Optimal Sampling-Based Motion Planning under Differential Constraints: the Driftless Case. CoRR (2014)
Lucas Janson, Marco Pavone
Fast Marching Trees: A Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions. ISRR (2013)
Lucas Janson, Marco Pavone
Fast Marching Trees: a Fast Marching Sampling-Based Method for Optimal Motion Planning in Many Dimensions - Extended Version. CoRR (2013)