Display advertising with real-time bidding (RTB) and behavioural targeting

von Wang, Jun
Veröffentlicht 2017

Efficient recursion-quadrature algorithms for pricing Asian options and variance derivatives under stochastic volatility and Lévy jumps

von Zhang, Weinan
Veröffentlicht in Operations research letters (2023)

ENERGY-BASED IMITATION LEARNING

von Liu, Minghuan
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 2 of 3 (2021)

MODEL-BASED POLICY OPTIMIZATION WITH UNSUPERVISED MODEL ADAPTATION

von Shen, Jian
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 4 of 27 (2021)

Research and GPU Parallel Implementation of the Compatibility Analysis Methodology Between FDMA and CDMA Navigation Signals

von Zhang, Weinan
Veröffentlicht in China Satellite Navigation Conference (12. : 2021 : Nanchang) China Satellite Navigation Conference (CSNC 2021), proceedings ; Volume 3 (2021)

EFFICIENT PROJECTION-FREE ALGORITHMS FOR SADDLE POINT PROBLEMS

von Chen, Cheng
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 13 of 27 (2021)

Model-Based Offline Policy Optimization with Distribution Correcting Regularization

von Shen, Jian
Veröffentlicht in ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 1: Research Track (2021)

Heterogeneous Graph Representation for Knowledge Tracing

von Chen, Jisen
Veröffentlicht in International Conference on Neural Information Processing (29. : 2022 : Online) Neural information processing ; Part 1 (2023)

Bootstrapped Transformer for Offline Reinforcement Learning

von Wang, Kerong
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

von Chen, Liheng
Veröffentlicht in International Conference on Distributed Artificial Intelligence (3. : 2021 : Shanghai) Distributed Artificial Intelligence (2022)

MULTI-AGENT DETERMINANTAL Q-LEARNING

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

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning Via Decoupled Policy Optimization

von Liu, Minghuan
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 17 of 33 (2023)

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

von Yang, Guan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 45 of 50 (2023)

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

von Wen, Muning
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 22 of 50 (2023)

Curriculum Offline Imitating Learning

von Liu, Minghuan
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 8 of 36 (2022)

On Effective Scheduling of Model-based Reinforcement Learning

von Lai, Hang
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 5 of 36 (2022)

Learning to Build High-Fidelity and Robust Environment Models

von Zhang, Weinan
Veröffentlicht in ECML PKDD (2021 : Online) Machine Learning and Knowledge Discovery in Databases ; Part 1: Research Track (2021)

Reinforcement Learning with Automated Auxiliary Loss Search

von He, Tairan
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 3 of 50 (2023)

GIKT: A Graph-Based Interaction Model for Knowledge Tracing

von Yang, Yang
Veröffentlicht in ECML/PKDD (2020 : Online) Machine learning and knowledge discovery in databases ; Part 1 (2021)

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

von Song, Yuxuan
Veröffentlicht in European Conference on Artificial Intelligence (24. : 2020 : Online) ECAI 2020 ; Part 2 (2020)