← Authors

Claire Tomlin

28 papers · 2012–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (4) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (125) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (28) πŸ”₯ Unstoppable (11) ❓ The Questioner

Conferences

L4DC (7) RSS (7) CORL (3) ICML (3) IJCAI (3) NIPS (3) ICLR (1) NAACL (1)

Top co-authors

Katie Kang (5) Sergey Levine (5) David Fridovich-Keil (3) Koushil Sreenath (3) Jingqi Li (2) Jason Choi (2) Walid Krichene (2) Varun Tolani (2) Aviral Kumar (2) Amrith Setlur (2)

Research topics

Robotics (1)

Keywords

reinforcement learning (6) partially observable markov decision process (3) optimal control (3) control barrier function (3) reachability analysis (2) bipedal locomotion (2) control lyapunov function (2) online learning (2) zero-sum game (2) dual averaging (2) trajectory planning (2) model uncertainty (2) robot navigation (2) safety-critical control (2) game theory (2) visual navigation (2) safety filter (2) nash equilibrium (2) trajectory prediction (2) multi-agent system (2)

Papers

What Do Learning Dynamics Reveal About Generalization in LLM Mathematical Reasoning? ICML 2025
Mechanistic Interpretability for Steering Vision-Language-Action Models CORL 2025
Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety RSS 2025
Unfamiliar Finetuning Examples Control How Language Models Hallucinate NAACL 2025
A framework for evaluating human driver models using neuroimaging L4DC 2024
Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security L4DC 2024
Safety filters for black-box dynamical systems by learning discriminating hyperplanes L4DC 2024
Deep Neural Networks Tend To Extrapolate Predictably ICLR 2024
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint) IJCAI 2024
Multi-Task Imitation Learning for Linear Dynamical Systems L4DC 2023
Compositional Learning-based Planning for Vision POMDPs L4DC 2023
Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022
From Robot Learning To Robot Understanding: Leveraging Causal Graphical Models For Robotics CORL 2021
Safety and Liveness Guarantees through Reach-Avoid Reinforcement Learning RSS 2021
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations RSS 2021
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020
Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces IJCAI 2020
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability L4DC 2020
Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions RSS 2020
Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability RSS 2020
Combining Optimal Control and Learning for Visual Navigation in Novel Environments CORL 2019
Probabilistically Safe Robot Planning with Confidence-Based Human Predictions RSS 2018
Countering Feedback Delays in Multi-Agent Learning NIPS 2017
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach NIPS 2017
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NIPS 2016
The Hedge Algorithm on a Continuum ICML 2015
Reducing Conservativeness in Safety Guarantees by Learning Disturbances Online: Iterated Guaranteed Safe Online Learning RSS 2012