REPLICA-EXCHANGE NOS\VE-HOOVER DYNAMICS FOR BAYESIAN LEARNING ON LARGE DATASETS

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

Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning

von Liu, Runze
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 29 of 50 (2023)

aaRANK: PRACTICALLY SCALING -RANK THROUGH STOCHASTIC OPTIMISATION

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

Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation

von Zhu, Zhitao
Veröffentlicht in WISE (23. : 2022 : Biarritz) Web information systems engineering - WISE 2022 (2022)

A Unified Diversity Measure for Multiagent Reinforcement Learning

von Liu, Zongkai
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 14 of 50 (2023)

Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing

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

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control

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

A Game-Theoretic Approach to Multi-agent Trust Region Optimization

von Wen, Ying
Veröffentlicht in International Conference on Distributed Artificial Intelligence (4. : 2022 : Tientsin) Distributed artificial intelligence (2023)

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)

MODELLING BEHAVIOURAL DIVERSITY FOR LEARNING IN OPEN-ENDED GAMES

von NIEVES, NICOLAS PEREZ
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 11 of 16 (2022)

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)

Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games

von Liu, Xiangyu
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 2 of 36 (2022)

Neural Auto-Curricula in Two-Player Zero-Sum Games

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

Constrained Update Projection Approach to Safe Policy Optimization

von Yang, Long
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 12 of 50 (2023)

A Theoretical Understanding of Gradient Bias in Meta-Reinforcement Learning

von Liu, Bo
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 40 of 50 (2023)

Q-VALUE PATH DECOMPOSITION FOR DEEP MULTIAGENT REINFORCEMENT 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)

Settling the Variance of Multi-Agent Policy Gradients

von Kuba, Jakub Grudzien
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 16 of 36 (2022)

LEARNING IN NONZERO-SUM STOCHASTIC GAMES WITH POTENTIALS

von MGUNI, DAVID
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 10 of 16 (2022)

DIVERSE AUTO-CURRICULUM IS CRITICAL FOR SUCCESSFUL REAL-WORLD MULTIAGENT LEARNING SYSTEMS

von Yang, Yaodong
Veröffentlicht in AAMAS (20. : 2021 : Online) 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021) ; Volume 1 of 3 (2021)

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

von Chen, Yuanpei
Veröffentlicht in NeurIPS (36. : 2022 : New Orleans, La.; Online) 36th Conference on Neural Information Processing Systems (NeurIPS 2022 ; Volume 7 of 50 (2023)