Mykel Kochenderfer
18 papers · 2011–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Trend Setter
ποΈ
Keyword Collector
(101)
π
Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(11)
Core AI
(11)
Optimization & Theory
(7)
Reinforcement Learning
(4)
Learning Types
(4)
Methods
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Computer Vision
(2)
Knowledge & Reasoning
(2)
Robotics
(2)
Analysis
(2)
Applications
(2)
Domain-Specific
(2)
Keywords
online planning
(3)
model-based control
(2)
system identification
(2)
value iteration
(2)
partially observable markov decision process
(2)
scene understanding
(1)
bayesian inference
(1)
reinforcement learning
(1)
epistemic uncertainty
(1)
uncertainty quantification
(1)
visual question answering
(1)
self-supervised learning
(1)
multimodal learning
(1)
autonomous driving
(1)
convex optimization
(1)
visual reasoning
(1)
object goal navigation
(1)
function approximation
(1)
bird's eye view
(1)
policy learning
(1)
Papers
Verifying Nonlinear Neural Feedback Systems using Polyhedral Enclosures
L4DC 2026
ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts
EMNLP 2025
Enter the Mind Palace: Reasoning and Planning for Long-term Active Embodied Question Answering
CoRL 2025
Informative Input Design for Dynamic Mode Decomposition
L4DC 2025
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
RSS 2025
Optimality Guarantees for Particle Belief Approximation of POMDPs (Abstract Reprint)
IJCAI 2024
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
WACV 2024
SEEK: Semantic Reasoning for Object Goal Navigation in Real World Inspection Tasks
RSS 2024
Model-based Validation as Probabilistic Inference
L4DC 2023
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
CoRL 2022
Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource Constraints
L4DC 2022
Active Preference-Based Gaussian Process Regression for Reward Learning
RSS 2020
Dynamic Multi-Robot Task Allocation under Uncertainty and Temporal Constraints
RSS 2020
Learning Near Optimal Policies with Low Inherent Bellman Error
ICML 2020
Robust Spatial-Temporal Incident Prediction
UAI 2020
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
ICML 2020
Structured Mechanical Models for Robot Learning and Control
L4DC 2020
Unmanned Aircraft Collision Avoidance using Continuous-State POMDPs
RSS 2011