We stand with Ukraine

We stand with Ukraine

Weixun Wang

Orcid: 0000-0002-2727-8948

According to our database¹, Weixun Wang authored at least 48 papers between 2009 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition.

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IEEE Trans. Games, June, 2024

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

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CoRR, 2024

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.

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CoRR, 2024

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework.

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CoRR, 2024

The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization.

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Michael Noukhovitch

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CoRR, 2024

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning.

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Matthew E. Taylor

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ASN: action semantics network for multiagent reinforcement learning.

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Matthew E. Taylor

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Auton. Agents Multi Agent Syst., October, 2023

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library.

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J. Mach. Learn. Res., 2023

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Off-Beat Multi-Agent Reinforcement Learning.

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Svetlana Obraztsova

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Zinovi Rabinovich

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Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Coach-assisted multi-agent reinforcement learning framework for unexpected crashed agents.

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Frontiers Inf. Technol. Electron. Eng., 2022

MARLlib: Extending RLlib for Multi-agent Reinforcement Learning.

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CoRR, 2022

A2C is a special case of PPO.

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Anssi Kanervisto

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Santiago Ontañón

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Rousslan Fernand Julien Dossa

CoRR, 2022

API: Boosting Multi-Agent Reinforcement Learning via Agent-Permutation-Invariant Networks.

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CoRR, 2022

Revisiting QMIX: Discriminative Credit Assignment by Gradient Entropy Regularization.

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CoRR, 2022

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

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Individual Reward Assisted Multi-Agent Reinforcement Learning.

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Proceedings of the International Conference on Machine Learning, 2022

2021

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.

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CoRR, 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning.

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Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Learning When to Transfer among Agents: An Efficient Multiagent Transfer Learning Framework.

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CoRR, 2020

Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer.

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Zongzhang Zhang

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising.

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Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Action Semantics Network: Considering the Effects of Actions in Multiagent Systems.

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Proceedings of the 8th International Conference on Learning Representations, 2020

Efficient Deep Reinforcement Learning through Policy Transfer.

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Zongzhang Zhang

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Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Agent Game Abstraction via Graph Attention Neural Network.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas.

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Matthew E. Taylor

Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019

Learning Adaptive Display Exposure for Real-Time Advertising.

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Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems.

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Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning.

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CoRR, 2018

Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach.

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Matthew E. Taylor

CoRR, 2018

2012

Energy-Aware Scheduling and Dynamic Reconfiguration in Real-Time Systems.

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Proceedings of the Handbook of Energy-Aware and Green Computing - Two Volume Set., 2012

System-Wide Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Multitasking Systems.

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IEEE Trans. Very Large Scale Integr. Syst., 2012

Dynamic Cache Reconfiguration for Soft Real-Time Systems.

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Ann Gordon-Ross

ACM Trans. Embed. Comput. Syst., 2012

TCEC: Temperature and Energy-Constrained Scheduling in Real-Time Multitasking Systems.

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IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012

Energy-aware dynamic slack allocation for real-time multitasking systems.

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Sustain. Comput. Informatics Syst., 2012

A Novel Approach for Handling Misbehaving Nodes in Behavior-Aware Mobile Networking

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Srishti Mukherjee

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CoRR, 2012

2011

Energy-aware dynamic reconfiguration algorithms for real-time multitasking systems.

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Sustain. Comput. Informatics Syst., 2011

Dynamic Reconfiguration of Two-Level Cache Hierarchy in Real-Time Embedded Systems.

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J. Low Power Electron., 2011

A General Algorithm for Energy-Aware Dynamic Reconfiguration in Multitasking Systems.

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Proceedings of the VLSI Design 2011: 24th International Conference on VLSI Design, 2011

Dynamic cache reconfiguration and partitioning for energy optimization in real-time multi-core systems.

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Proceedings of the 48th Design Automation Conference, 2011

2010

Leakage-Aware Energy Minimization Using Dynamic Voltage Scaling and Cache Reconfiguration in Real-Time Systems.

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Proceedings of the VLSI Design 2010: 23rd International Conference on VLSI Design, 2010

Temperature- and energy-constrained scheduling in multitasking systems: a model checking approach.

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Proceedings of the 2010 International Symposium on Low Power Electronics and Design, 2010

PreDVS: preemptive dynamic voltage scaling for real-time systems using approximation scheme.

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Proceedings of the 47th Design Automation Conference, 2010

2009

SACR: Scheduling-Aware Cache Reconfiguration for Real-Time Embedded Systems.

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Ann Gordon-Ross

Proceedings of the VLSI Design 2009: Improving Productivity through Higher Abstraction, 2009

Dynamic Reconfiguration of Two-Level Caches in Soft Real-Time Embedded Systems.

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Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2009

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