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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...
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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...
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04/25/2023
SEA: A Spatially Explicit Architecture for Multi-Agent Reinforcement Learning
Spatial information is essential in various fields. How to explicitly mo...
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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...
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04/18/2023
An Information-Theoretic Analysis of Discrete-Time Control and Filtering Limitations by the I-MMSE Relationships
Fundamental limitations or performance trade-offs/limits are important p...
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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 ...
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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...
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06/06/2022
Consensus Learning for Cooperative Multi-Agent Reinforcement Learning
Almost all multi-agent reinforcement learning algorithms without communi...
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04/20/2022
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Recently, model-based agents have achieved better performance than model...
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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...
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01/04/2022
Fundamental Limitations of Control and Filtering in Continuous-Time Systems: An Information-Theoretic Analysis
While information-theoretic methods have been introduced to investigate ...
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10/14/2021
HAVEN: Hierarchical Cooperative Multi-Agent Reinforcement Learning with Dual Coordination Mechanism
Multi-agent reinforcement learning often suffers from the exponentially ...
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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 ...
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06/08/2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
We study the problem of stochastic bandits with adversarial corruptions ...
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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...
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04/08/2021
Learning to Coordinate via Multiple Graph Neural Networks
The collaboration between agents has gradually become an important topic...
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09/28/2020
f-Divergence Variational Inference
This paper introduces the f-divergence variational inference (f-VI) that...
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10/07/2017