Tim Seyde - RankMe

29 papers A* 5A 3Misc 5Journal 13Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LFM2 Technical Report. CoRR Alexander Amini, Anna Banaszak, Harold Benoit, Arthur Böök, Tarek Dakhran, Song Duong, Alfred Eng, Fernando Fernandes, Marc Härkönen, Anne Harrington, Ramin M. Hasani, Saniya Karwa, Yuri Khrustalev, Maxime Labonne, Mathias Lechner, Valentine Lechner, Simon Lee, Zetian Li, Noel Loo, Jacob Marks, Edoardo Mosca, Samuel J. Paech, Paul Pak, Rom N. Parnichkun, Alex Quach, Ryan Rogers, Daniela Rus, Nayan Saxena, Bettina Schlager, Tim Seyde, Jimmy T. H. Smith, Aditya Tadimeti, Neehal Tumma
2025	J	`jnl`	Zero-Overhead Introspection for Adaptive Test-Time Compute. CoRR Rohin Manvi, Joey Hong, Tim Seyde, Maxime Labonne, Mathias Lechner, Sergey Levine
2024	A	`conf`	Competitive Multi-Team Behavior in Dynamic Flight Scenarios. IROS Tim Seyde, Mathias Lechner, Joshua Rountree, Daniela Rus
2024	J	`jnl`	Faster Algorithms for Growing Collision-Free Convex Polytopes in Robot Configuration Space. CoRR Peter Werner, Thomas Cohn, Rebecca H. Jiang, Tim Seyde, Max Simchowitz, Russ Tedrake, Daniela Rus
2024	J	`jnl`	Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
2024	—	`conf`	Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
2023	Misc	`conf`	Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
2023	A*	`conf`	Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus
2023	Misc	`conf`	Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
2023	A*	`conf`	Solving Continuous Control via Q-learning. ICLR Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
2023	A	`conf`	Towards Cooperative Flight Control Using Visual-Attention. IROS Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus
2022	A	`conf`	Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross E. Allen, Alexander Amini, Daniela Rus
2022	J	`jnl`	Cooperative Flight Control Using Visual-Attention - Air-Guardian. CoRR Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus
2022	J	`jnl`	Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus
2022	J	`jnl`	Interpreting Neural Policies with Disentangled Tree Representations. CoRR Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
2022	—	`conf`	Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2022	J	`jnl`	Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
2022	J	`jnl`	Solving Continuous Control via Q-learning. CoRR Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
2021	J	`jnl`	Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
2021	A*	`conf`	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021	J	`jnl`	Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
2021	Misc	`conf`	Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRL Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
2021	Misc	`conf`	Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
2020	Misc	`conf`	Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
2020	J	`jnl`	Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRR Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
2020	—	`conf`	Learning to Plan via Deep Optimistic Value Exploration. L4DC Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
2019	A*	`conf`	Locomotion Planning through a Hybrid Bayesian Trajectory Optimization. ICRA Tim Seyde, Jan Carius, Ruben Grandia, Farbod Farshidian, Marco Hutter
2019	J	`jnl`	Locomotion Planning through a Hybrid Bayesian Trajectory Optimization. CoRR Tim Seyde, Jan Carius, Ruben Grandia, Farbod Farshidian, Marco Hutter
2018	A*	`conf`	Inclusion of Angular Momentum During Planning for Capture Point Based Walking. ICRA Tim Seyde, Apoorv Shrivastava, Johannes Englsberger, Sylvain Bertrand, Jerry E. Pratt, Robert J. Griffin