| Good Posture, Good Balance: Comparison of Bioinspired and Model-Based Approaches for Posture Control of Humanoid Robots C Ott, B Henze, G Hettich, TN Seyde, MA Roa, V Lippi, T Mergner IEEE Robotics & Automation Magazine 23 (1), 22-33, 2016 | 58 | 2016 |
| Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space W Schwarting, T Seyde, I Gilitschenski, L Liebenwein, R Sander, ... 4th Annual Conference on Robot Learning, 2021 | 37 | 2021 |
| Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies T Seyde, I Gilitschenski, W Schwarting, B Stellato, M Riedmiller, ... Advances in Neural Information Processing Systems 34, 2021 | 36 | 2021 |
| Inclusion of Angular Momentum During Planning for Capture Point Based Walking T Seyde, A Shrivastava, J Englsberger, S Bertrand, J Pratt, RJ Griffin 2018 IEEE International Conference on Robotics and Automation (ICRA), 1791-1798, 2018 | 27 | 2018 |
| Locomotion Planning through a Hybrid Bayesian Trajectory Optimization T Seyde, J Carius, R Grandia, F Farshidian, M Hutter 2019 International Conference on Robotics and Automation (ICRA), 5544-5550, 2019 | 18 | 2019 |
| Solving Continuous Control via Q-learning T Seyde, P Werner, W Schwarting, I Gilitschenski, M Riedmiller, D Rus, ... International Conference on Learning Representations (ICLR), 2023 | 15 | 2023 |
| Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies P Tylkin, TH Wang, K Palko, R Allen, HC Siu, D Wrafter, T Seyde, A Amini, ... IEEE Robotics and Automation Letters 7 (2), 3265-3272, 2022 | 10 | 2022 |
| Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles T Seyde*, W Schwarting*, S Karaman, D Rus 5th Annual Conference on Robot Learning, 2021 | 9 | 2021 |
| Strength Through Diversity: Robust Behavior Learning via Mixture Policies T Seyde, W Schwarting, I Gilitschenski, M Wulfmeier, D Rus 5th Annual Conference on Robot Learning, 1144-1155, 2022 | 7 | 2022 |
| Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks R Sander, W Schwarting, T Seyde, I Gilitschenski, S Karaman, D Rus Learning for Dynamics and Control Conference, 954-967, 2022 | 4 | 2022 |
| Gigastep-One Billion Steps per Second Multi-agent Reinforcement Learning M Lechner, L Yin, T Seyde, TH Wang, W Xiao, R Hasani, J Rountree, ... Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | 3 | 2023 |
| Autonomous Flight Arcade Challenge: Single-and Multi-Agent Learning Environments for Aerial Vehicles P Tylkin, TH Wang, T Seyde, K Palko, R Allen, A Amini, D Rus Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 3 | 2022 |
| Learning to Plan via Deep Optimistic Value Exploration T Seyde*, W Schwarting*, S Karaman, DL Rus Learning for Dynamics and Control, 815--825, 2020 | 3 | 2020 |
| Measuring Interpretability of Neural Policies of Robots with Disentangled Representation TH Wang, W Xiao, T Seyde, R Hasani, D Rus Conference on Robot Learning, 602-641, 2023 | 2 | 2023 |
| Dynamic Multi-Team Racing: Competitive Driving on 1/10-th Scale Vehicles via Learning in Simulation P Werner*, T Seyde*, P Drews, TM Balch, I Gilitschenski, W Schwarting, ... 7th Annual Conference on Robot Learning, 2023 | 2 | 2023 |
| Cooperative Flight Control Using Visual-Attention--Air-Guardian L Yin, TH Wang, M Chahine, T Seyde, M Lechner, R Hasani, D Rus International Conference on Intelligent Robots and Systems (IROS), 2023 | 2 | 2023 |
| Interpreting Neural Policies with Disentangled Tree Representations TH Wang, W Xiao, T Seyde, R Hasani, D Rus arXiv preprint arXiv:2210.06650, 2022 | 2 | 2022 |
| Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution T Seyde, P Werner, W Schwarting, M Wulfmeier, D Rus arXiv preprint arXiv:2404.04253, 2024 | 1 | 2024 |
| Towards Cooperative Flight Control Using Visual-Attention L Yin, M Chahine, TH Wang, T Seyde, C Liu, M Lechner, R Hasani, D Rus 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| Efficient Learning Control via Structural Policy Priors, Latent World Models and Hierarchical Abstraction TN Seyde Massachusetts Institute of Technology, 2024 | | 2024 |
Daniela RusAndrew (1956) and Erna Viterbi Professor of Computer Science, MITDirección de correo verificada de csail.mit.edu
