← Authors

Sertac Karaman

19 papers · 2015–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (10) 🐝 Cross-Pollinator (11) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (34) 🀝 Dynamic Duo (11) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (84) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7) πŸ’Ž Century Club (19) πŸ“ˆ Trend Setter

Conferences

CORL (6) RSS (6) L4DC (3) ICLR (2) ICML (1) NIPS (1)

Top co-authors

Daniela Rus (11) Wilko Schwarting (6) Igor Gilitschenski (6) Tim Seyde (5) Ezra Tal (3) Guy Rosman (3) Gilhyun Ryou (3) Xiao Li (2) Cristian-Ioan Vasile (2) Jonathan DeCastro (2)

Keywords

value function (2) temporal logic (2) motion control (2) deep reinforcement learning (2) bayesian optimization (2) model-based reinforcement learning (2) upper confidence bound (2) black-box optimization (1) sim-to-real transfer (1) sample efficiency (1) efficient computing (1) formal verification (1) mutual information (1) trajectory prediction (1) autonomous driving (1) imitation learning (1) off-policy learning (1) uncertainty quantification (1) curse of dimensionality (1) continuous control (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
Real-Time Generation of Time-Optimal Quadrotor Trajectories with Semi-Supervised Seq2Seq Learning CORL 2022
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks L4DC 2022
Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis L4DC 2021
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles CORL 2021
Learning A Risk-Aware Trajectory Planner From Demonstrations Using Logic Monitor CORL 2021
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space CORL 2020
Learning to Plan via Deep Optimistic Value Exploration L4DC 2020
Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers RSS 2020
Deep Orientation Uncertainty Learning based on a Bingham Loss ICLR 2020
Differentiable Logic Layer for Rule Guided Trajectory Prediction CORL 2020
High-Throughput Computation of Shannon Mutual Information on Chip RSS 2019
Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018
Invertibility of Convolutional Generative Networks from Partial Measurements NIPS 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