Guoliang Fan | DeepAI

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∙ 05/13/2023

Stackelberg Decision Transformer for Asynchronous Action Coordination in Multi-Agent Systems

Asynchronous action coordination presents a pervasive challenge in Multi...

0 Bin Zhang, et al. ∙

∙ 04/28/2023

From Explicit Communication to Tacit Cooperation:A Novel Paradigm for Cooperative MARL

Centralized training with decentralized execution (CTDE) is a widely-use...

0 Dapeng Li, et al. ∙

∙ 04/25/2023

SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning

Spatial information is essential in various fields. How to explicitly mo...

0 Dapeng Li, et al. ∙

∙ 04/20/2023

Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning

In multi-agent reinforcement learning (MARL), self-interested agents att...

0 Bin Zhang, et al. ∙

∙ 03/21/2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning

In high-dimensional time-series analysis, it is essential to have a set ...

0 Dapeng Li, et al. ∙

∙ 02/04/2023

Dual Self-Awareness Value Decomposition Framework without Individual Global Max for Cooperative Multi-Agent Reinforcement Learning

Value decomposition methods have gradually become popular in the coopera...

0 Zhiwei Xu, et al. ∙

∙ 06/06/2022

Consensus Learning for Cooperative Multi-Agent Reinforcement Learning

Almost all multi-agent reinforcement learning algorithms without communi...

0 Zhiwei Xu, et al. ∙

∙ 04/20/2022

Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning

Recently, model-based agents have achieved better performance than model...

0 Zhiwei Xu, et al. ∙

∙ 03/07/2022

Efficient Cooperation Strategy Generation in Multi-Agent Video Games via Hypergraph Neural Network

The performance of deep reinforcement learning (DRL) in single-agent vid...

0 Bin Zhang, et al. ∙

∙ 12/09/2021

Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning

Cooperation between agents in a multi-agent system (MAS) has become a ho...

0 Yunpeng Bai, et al. ∙

∙ 10/14/2021

HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism

Multi-agent reinforcement learning often suffers from the exponentially ...

0 Zhiwei Xu, et al. ∙

∙ 09/24/2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework

The framework of deep reinforcement learning (DRL) provides a powerful a...

0 Chen gong, et al. ∙

∙ 06/22/2021

MMD-MIX: Value Function Factorisation with Maximum Mean Discrepancy for Cooperative Multi-Agent Reinforcement Learning

In the real world, many tasks require multiple agents to cooperate with ...

0 Zhiwei Xu, et al. ∙

∙ 05/13/2021

SIDE: I Infer the State I Want to Learn

As one of the solutions to the Dec-POMDP problem, the value decompositio...

0 Zhiwei Xu, et al. ∙

∙ 04/08/2021

Learning to Coordinate via Multiple Graph Neural Networks

The collaboration between agents has gradually become an important topic...

0 Zhiwei Xu, et al. ∙

∙ 03/05/2018

A generalized parametric 3D shape representation for articulated pose estimation

We present a novel parametric 3D shape representation, Generalized sum o...

0 Meng Ding, et al. ∙

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