Tim Seyde

According to our database, Tim Seyde authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Growing Q-networks: Solving continuous control tasks with adaptive control resolution.

Tim Seyde, Peter Werner, Wilko Schwarting, Markus Wulfmeier, Daniela Rus

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning.

Mathias Lechner, Lianhao Yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao, Ramin M. Hasani, Joshua Rountree, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Cooperative Flight Control Using Visual-Attention.

Lianhao Yin, Makram Chahine, Tsun-Hsuan Wang, Tim Seyde, Chao Liu, Mathias Lechner, Ramin M. Hasani, Daniela Rus

IROS, 2023

Solving Continuous Control via Q-learning.

Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin A. Riedmiller, Daniela Rus, Markus Wulfmeier

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation.

Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus

Proceedings of the Conference on Robot Learning, 2023

Measuring Interpretability of Neural Policies of Robots with Disentangled Representation.

Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus

Proceedings of the Conference on Robot Learning, 2023

2022

Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies.

Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus

IEEE Robotics Autom. Lett., 2022

Cooperative Flight Control Using Visual-Attention - Air-Guardian.

Lianhao Yin, Tsun-Hsuan Wang, Makram Chahine, Tim Seyde, Mathias Lechner, Ramin M. Hasani, Daniela Rus

CoRR, 2022

Interpreting Neural Policies with Disentangled Tree Representations.

Tsun-Hsuan Wang, Wei Xiao, Tim Seyde, Ramin M. Hasani, Daniela Rus

CoRR, 2022

Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks.

Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus

Proceedings of the Learning for Dynamics and Control Conference, 2022

Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.

Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross E. Allen, Alexander Amini, Daniela Rus

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies.

Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin A. Riedmiller, Markus Wulfmeier, Daniela Rus

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles.

Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Strength Through Diversity: Robust Behavior Learning via Mixture Policies.

Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Learning to Plan via Deep Optimistic Value Exploration.

Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space.

Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Locomotion Planning through a Hybrid Bayesian Trajectory Optimization.

Tim Seyde, Jan Carius, Ruben Grandia, Farbod Farshidian, Marco Hutter

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Inclusion of Angular Momentum During Planning for Capture Point Based Walking.

Tim Seyde, Apoorv Shrivastava, Johannes Englsberger, Sylvain Bertrand, Jerry E. Pratt, Robert J. Griffin

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018