SAFE REINFORCEMENT LEARNING IN CONSTRAINED MARKOV DECISION PROCESSES

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

Safe Policy Optimization with Local Generalized Linear Function Approximations

von Wachi, Akifumi
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 25 of 36 (2022)

Confidence-Aware Imitation Learning from Demonstrations with Varying Optimality

von Zhang, Songyuan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 15 of 36 (2022)

DUELING POSTERIOR SAMPLING FOR PREFERENCE-BASED REINFORCEMENT LEARNING

von NOVOSELLER, ELLEN
Veröffentlicht in Conference on Uncertainty in Artificial Intelligence (36. : 2020 : Online) 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020) ; Volume 3 of 3 (2021)

Imitation with Neural Density Models

von Kim, Kuno
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 7 of 36 (2022)

SeqVec-GAT: A Golgi Classification Model Based on Multi-headed Graph Attention Network

von Sui, Jianan
Veröffentlicht in ICIC (18. : 2022 : Xi'an) Intelligent computing theories and application ; Part 2 (2022)