Tim Seyde

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Top Venues

Publications

Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution. CoRR (2024)
Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus
Growing Q-networks: Solving continuous control tasks with adaptive control resolution. L4DC (2024)
Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation. CoRL (2023)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation. CoRL (2023)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. ICLR (2023)
Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning. NeurIPS (2023)
Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Towards Cooperative Flight Control Using Visual-Attention. IROS (2023)
Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier
Solving Continuous Control via Q-learning. CoRR (2022)
Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus
Interpreting Neural Policies with Disentangled Tree Representations. CoRR (2022)
Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. L4DC (2022)
Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks. CoRR (2022)
Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus
Cooperative Flight Control Using Visual-Attention - Air-Guardian. CoRR (2022)
Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross Allen, Alexander Amini, Daniela Rus
Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles. AAMAS (2022)
Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus
Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies. IEEE Robotics Autom. Lett. 7 (2) (2022)
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRL (2021)
Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
Strength Through Diversity: Robust Behavior Learning via Mixture Policies. CoRL (2021)
Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRR (2021)
Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. CoRR (2021)
Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies. NeurIPS (2021)
Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. CoRL (2020)
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning to Plan via Deep Optimistic Value Exploration. L4DC (2020)
Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. CoRR (2020)
Tim Seyde, Jan Carius, Ruben Grandia, Farbod Farshidian, Marco Hutter
Locomotion Planning through a Hybrid Bayesian Trajectory Optimization. CoRR (2019)
Tim Seyde, Jan Carius, Ruben Grandia, Farbod Farshidian, Marco Hutter
Locomotion Planning through a Hybrid Bayesian Trajectory Optimization. ICRA (2019)
Tim Seyde, Apoorv Shrivastava, Johannes Englsberger, Sylvain Bertrand, Jerry E. Pratt, Robert J. Griffin
Inclusion of Angular Momentum During Planning for Capture Point Based Walking. ICRA (2018)