EFFICIENT CONTINUOUS PARETO EXPLORATION IN MULTI-TASK LEARNING

von Ma, Pingchuan
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 9 of 15 (2021)

DIVERSITY-GUIDED MULTI-OBJECTIVE BAYESIAN OPTIMIZATION WITH BATCH EVALUATIONS

von Lukovic, Mina Konakovic
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 22 of 27 (2021)

Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots

von Bhatia, Jagdeep
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 3 of 36 (2022)

LEARNING-IN-THE-LOOP OPTIMIZATION: END-TO-END CONTROL AND CO-DESIGN OF SOFT N ROBOTS THROUGH LEARNED DEEP LATENT REPRESENTATIONS

von Spielberg, Andrew
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

PREDICTION-GUIDED MULTI-OBJECTIVE REINFORCEMENT LEARNING FOR CONTINUOUS ROBOT CONTROL

von Xu, Jie
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 14 of 15 (2021)

ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment

von DelPreto, Joseph
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 18 of 50 (2023)

Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models

von Nava, Elvis
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 20 of 33 (2023)