Shankar Sastry

14 papers · 2005–2025 · 6 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🌍 Conference Polyglot (6)

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🧬 Topic Evolution 💎 Century Club (14) 🚀 Conference Pioneer 📈 Trend Setter ❓ The Questioner 🔥 Unstoppable (6) 🗃️ Keyword Collector (68)

Conferences

L4DC (4) NIPS (4) RSS (3) AISTATS (1) CORL (1) JMLR (1)

Top co-authors

Chinmay Maheshwari (4) Eric Mazumdar (3) Koushil Sreenath (2) Claire Tomlin (2) Fernando Castaneda (2) Dorsa Sadigh (2) Ayush Agrawal (2) Tyler Westenbroek (2) Chih-Yuan Chiu (1) Michael Psenka (1)

Keywords

regret bound (2) matching market (2) online learning (2) dynamical system (2) trajectory prediction (2) inverse reinforcement learning (2) strategic classification (2) multi-agent system (2) stable matching (2) semidefinite programming (1) autonomous driving (1) sample complexity (1) manifold learning (1) reinforcement learning (1) preference learning (1) robot control (1) compressive sensing (1) gradient descent (1) signal reconstruction (1) game theory (1)

Papers

$α$-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function L4DC 2025 Hacking predictors means hacking cars: Using sensitivity analysis to identify trajectory prediction vulnerabilities for autonomous driving security L4DC 2024 Representation Learning via Manifold Flattening and Reconstruction JMLR 2024 Competing Bandits in Time Varying Matching Markets L4DC 2023 Lyapunov Design for Robust and Efficient Robotic Reinforcement Learning CORL 2022 Zeroth-Order Methods for Convex-Concave Min-max Problems: Applications to Decision-Dependent Risk Minimization AISTATS 2022 Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets NIPS 2022 Who Leads and Who Follows in Strategic Classification? NIPS 2021 Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning L4DC 2020 Step Size Matters in Deep Learning NIPS 2018 Active Preference-Based Learning of Reward Functions RSS 2017 Planning for Autonomous Cars that Leverage Effects on Human Actions RSS 2016 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NIPS 2012 Roadmap Based Pursuit-Evasion and Collision Avoidance RSS 2005