Shankar Sastry
16 papers · 2005–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Ultra π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§¬
Topic Evolution
ποΈ
Keyword Collector
(84)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
Top co-authors
Research topics
Keywords
dynamical system
(2)
inverse reinforcement learning
(2)
stable matching
(2)
strategic classification
(2)
trajectory prediction
(2)
reinforcement learning
(2)
regret bound
(2)
matching market
(2)
multi-agent system
(2)
online learning
(2)
sim-to-real transfer
(2)
sample complexity
(1)
preference learning
(1)
autonomous driving
(1)
compressive sensing
(1)
robotic manipulation
(1)
game theory
(1)
behavior cloning
(1)
convex optimization
(1)
domain randomization
(1)
Papers
Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer
CVPR 2026
VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation
CVPR 2026
$Ξ±$-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
Decentralized, Communication- and Coordination-free Learning in Structured Matching Markets
NeurIPS 2022
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
Who Leads and Who Follows in Strategic Classification?
NeurIPS 2021
Improving Input-Output Linearizing Controllers for Bipedal Robots via Reinforcement Learning
L4DC 2020
Step Size Matters in Deep Learning
NeurIPS 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
NeurIPS 2012
Roadmap Based Pursuit-Evasion and Collision Avoidance
RSS 2005