Sertac Karaman
19 papers · 2015–2025 · 6 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 ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (40) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(11)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(6)
ποΈ
Keyword Collector
(98)
Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(10)
Core AI
(9)
Reinforcement Learning
(7)
Optimization & Theory
(7)
Applications
(5)
Computer Vision
(4)
Deep Learning
(4)
Mathematics & Optimization
(4)
Application Areas
(4)
Learning Types
(4)
Methods
(4)
Optimization
(3)
Analysis
(2)
Architectures
(2)
Keywords
model-based reinforcement learning
(2)
upper confidence bound
(2)
motion control
(2)
value function
(2)
deep reinforcement learning
(2)
autonomous driving
(2)
bayesian optimization
(2)
latent space
(2)
temporal logic
(2)
black-box optimization
(1)
trajectory prediction
(1)
sim-to-real transfer
(1)
efficient computing
(1)
formal verification
(1)
sample efficiency
(1)
uncertainty quantification
(1)
continuous control
(1)
gradient-based optimization
(1)
imitation learning
(1)
trajectory optimization
(1)
Papers
Highly Compressed Tokenizer Can Generate Without Training
ICML 2025
ReGen: Generative Robot Simulation via Inverse Design
ICLR 2025
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation
CoRL 2023
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization
RSS 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks
L4DC 2022
Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning
CoRL 2022
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis
L4DC 2021
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor
CoRL 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
CoRL 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space
CoRL 2020
Deep Orientation Uncertainty Learning based on a Bingham Loss
ICLR 2020
Differentiable Logic Layer for Rule Guided Trajectory Prediction
CoRL 2020
Learning to Plan via Deep Optimistic Value Exploration
L4DC 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers
RSS 2020
High-Throughput Computation of Shannon Mutual Information on Chip
RSS 2019
Invertibility of Convolutional Generative Networks from Partial Measurements
NeurIPS 2018
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees
RSS 2018
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach
RSS 2017
Efficient High-Dimensional Stochastic Optimal Motion Control using Tensor-Train Decomposition
RSS 2015