Anirudha Majumdar
31 papers · 2013–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (12) π Interdisciplinary Bridge π Conference Polyglot (7) π§ Keyword Pioneer π£ Hot Topic Early Bird
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Taxonomy Completionist
(39)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
π§¬
Topic Evolution
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Grand Slam
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Keyword Champion
(5)
ποΈ
Keyword Collector
(112)
β‘
Prolific Year
(6)
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Trend Setter
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Century Club
(30)
π₯
Unstoppable
(6)
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The Questioner
Conferences
CORL (13)
RSS (8)
L4DC (3)
ICML (2)
NIPS (2)
AAAI (1)
EACL (1)
ICLR (1)
Top co-authors
Research topics
Keywords
generalization guarantee
(5)
reinforcement learning
(4)
uncertainty quantification
(3)
conformal prediction
(3)
imitation learning
(2)
generalization bound
(2)
policy learning
(2)
set-valued prediction
(2)
statistical guarantee
(2)
obstacle avoidance
(2)
regret minimization
(2)
convex optimization
(2)
sim-to-real transfer
(2)
pac-bayesian theory
(2)
online learning
(2)
policy gradient
(1)
decision making
(1)
information bottleneck
(1)
semidefinite programming
(1)
group lasso
(1)
Papers
Reasoning about Uncertainty: Do Reasoning Models Know When They Donβt Know?
EACL 2026
Is Your Imitation Learning Policy Better than Mine? Policy Comparison with Near-Optimal Stopping
RSS 2025
Predictive Red Teaming: Breaking Policies Without Breaking Robots
CORL 2025
Generating Robot Constitutions & Benchmarks for Semantic Safety
CORL 2025
SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps
CORL 2025
WoMAP: World Models For Embodied Open-Vocabulary Object Localization
CORL 2025
Diffusion Policy Policy Optimization
ICLR 2025
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint)
AAAI 2024
Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception
CORL 2024
Risk-Calibrated Human-Robot Interaction via Set-Valued Intent Prediction
RSS 2024
Explore until Confident: Efficient Exploration for Embodied Question Answering
RSS 2024
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
CORL 2023
Fundamental Tradeoffs in Learning with Prior Information
ICML 2023
Online Learning for Obstacle Avoidance
CORL 2023
AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer
CORL 2023
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction
NIPS 2023
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control
RSS 2022
Leveraging Language for Accelerated Learning of Tool Manipulation
CORL 2022
Fundamental Performance Limits for Sensor-Based Robot Control and Policy Learning
RSS 2022
Learning to Actively Reduce Memory Requirements for Robot Control Tasks
L4DC 2021
Generating Adversarial Disturbances for Controller Verification
L4DC 2021
Task-Driven Out-of-Distribution Detection with Statistical Guarantees for Robot Learning
CORL 2021
A Regret Minimization Approach to Iterative Learning Control
ICML 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability
NIPS 2021
Invariant Policy Optimization: Towards Stronger Generalization in Reinforcement Learning
L4DC 2021
Probably Approximately Correct Vision-Based Planning using Motion Primitives
CORL 2020
Learning Task-Driven Control Policies via Information Bottlenecks
RSS 2020
Generalization Guarantees for Imitation Learning
CORL 2020
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments
CORL 2018
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models
RSS 2017
Convex Optimization of Nonlinear Feedback Controllers via Occupation Measures
RSS 2013