Model-Based Meta Reinforcement Learning Using Graph Structured Surrogate Models and Amortized Policy Search

von Wang, Qi
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 28 of 33 (2023)

DEEP COHERENT EXPLORATION FOR CONTINUOUS CONTROL

von ZHANG, YIJIE
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 16 of 16 (2022)

DOUBLY STOCHASTIC VARIATIONAL INFERENCE FOR NEURAL PROCESSES WITH HIERARCHICAL LATENT VARIABLES

von Wang, Qi
Veröffentlicht in International Conference on Machine Learning (37. : 2020 : Online) 37th International Conference on Machine Learning (ICML 2020) ; Part 13 of 15 (2021)

A PERFORMANCE-BASED START STATE CURRICULUM FRAMEWORK FOR REINFORCEMENT LEARNING

von Wöhlke, Jan
Veröffentlicht in AAMAS (19. : 2020 : Online) International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) ; Volume 3 of 3 (2021)

EXPERIMENTAL DESIGN FOR MRI BY GREEDY POLICY SEARCH

von Bakker, Tim
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 23 of 27 (2021)

Policy Search on Aggregated State Space for Active Sampling

von Manjanna, Sandeep
Veröffentlicht in International Symposium on Experimental Robotics (2018 : Buenos Aires) Proceedings of the 2018 International Symposium on Experimental Robotics (2020)

Deep Policy Dynamic Programming for Vehicle Routing Problems

von Kool, Wouter
Veröffentlicht in CPAIOR (19. : 2022 : Los Angeles, Calif.; Online) Integration of constraint programming, artificial intelligence, and operations research (2022)

Stochastic Activation Actor Critic Methods

von Shang, Wenling
Veröffentlicht in ECML PKDD (4. : 2019 : Würzburg) Machine learning and knowledge discovery in databases ; Part 3 (2020)