Mykel J. Kochenderfer
17 papers · 2017–2026 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver
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Topic Evolution
π
Keyword Champion
(5)
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Renaissance Researcher
(5)
ποΈ
Keyword Collector
(83)
π
Century Club Β· Bronze
Venues
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Reinforcement Learning
(10)
Machine Learning
(9)
Methods
(8)
Optimization & Theory
(7)
Learning Types
(4)
Applications Β· Reinforcement Learning
(3)
Core Methods
(2)
Deep Learning
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Robotics
(1)
Application Areas
(1)
Applications Β· Robotics
(1)
Keywords
monte carlo tree search
(5)
partially observable markov decision process
(5)
policy optimization
(2)
reinforcement learning
(2)
uncertainty quantification
(2)
action space
(2)
transfer learning
(1)
variational inference
(1)
benchmark evaluation
(1)
autonomous driving
(1)
model predictive control
(1)
markov decision process
(1)
gaussian process
(1)
exploration-exploitation tradeoff
(1)
value iteration
(1)
model evaluation
(1)
belief state
(1)
value function
(1)
monte carlo simulation
(1)
importance sampling
(1)
Papers
Efficient Multiagent Planning via Shared Action Suggestions
AAAI 2026
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
AAAI 2025
Semi-Markovian Planning to Coordinate Aerial and Maritime Medical Evacuation Platforms
AAAI 2025
Zono-Conformal Prediction: Zonotope-Based Uncertainty Quantification for Regression and Classification Tasks
JMLR 2025
BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
NeurIPS 2024
ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints
IJCAI 2024
OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems
JMLR 2022
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
AAAI 2022
Scalable Anytime Planning for Multi-Agent MDPs (Extended Abstract)
IJCAI 2022
Bayesian Optimized Monte Carlo Planning
AAAI 2021
Improved POMDP Tree Search Planning with Prioritized Action Branching
AAAI 2021
Transfer Learning for Efficient Iterative Safety Validation
AAAI 2021
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
AAAI 2020
Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control
IJCAI 2019
Monte Carlo Tree Search for Policy Optimization
IJCAI 2019
POMDPs.jl: A Framework for Sequential Decision Making under Uncertainty
JMLR 2017
Weighted Double Q-learning
IJCAI 2017