Scaling up multi-agent reinforcement learning in complex domains

Scaling up multi-agent reinforcement learning in complex domains

TD-FALCON (Temporal Difference - Fusion Architecture for Learning, COgnition, and Navigation) is a class of self-organizing neural networks that incorporates Temporal Difference (TD) methods for real-time reinforcement learning. In this paper, we present two strategies, i.e. policy sharing and neigh...

Saved in:

書目詳細資料
Main Authors:	XIAO, Dan, TAN, Ah-hwee
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2008
主題:	Databases and Information Systems
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/6798 https://ink.library.smu.edu.sg/context/sis_research/article/7801/viewcontent/Scaling_Up_IAT08.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

相似書籍

Self-organizing agents for reinforcement learning in virtual worlds
由: KANG, Yilin, et al.
出版: (2010)

Cooperative reinforcement learning in topology-based multi-agent systems
由: XIAO, Dan, et al.
出版: (2011)

Multi-agent reinforcement learning in spatial domain tasks using inter subtask empowerment rewards
由: PATERIA, Shubham, et al.
出版: (2019)

Scaling up Cooperative Multi-agent Reinforcement Learning Systems
由: GENG, Minghong
出版: (2024)

Integrating motivated learning and k-winner-take-all to coordinate multi-agent reinforcement learning
由: TENG, Teck-Hou, et al.
出版: (2014)

Self-organizing neural architecture for reinforcement learning
由: TAN, Ah-hwee
出版: (2006)

Multi-agent collaborative exploration through graph-based deep reinforcement learning
由: LUO, Tianze, et al.
出版: (2019)

End-to-end deep reinforcement learning for multi-agent collaborative exploration
由: CHEN, Zichen, et al.
出版: (2019)

Cognitive agents integrating rules and reinforcement learning for context-aware decision support
由: TENG, Teck-Hou, et al.
出版: (2008)

Explaining Sequences of Actions in Multi-agent Deep Reinforcement Learning Models
由: KHAING, Phyo Wai, et al.
出版: (2024)

Integrating motivated learning and k-winner-take-all to coordinate multi-agent reinforcement learning
由: TENG, Teck-Hou, et al.
出版: (2014)

Towards human-like social multi-agents with memetic automaton
由: FENG, Liang, et al.
出版: (2011)

Direct code access in self-organizing neural networks for reinforcement learning
由: TAN, Ah-hwee
出版: (2007)

Integrating self-organizing neural network and motivated learning for coordinated multi-agent reinforcement learning in multi-stage stochastic game
由: TENG, Teck-Hou, et al.
出版: (2014)

Towards Explaining Sequences of Actions in Multi-Agent Deep Reinforcement Learning Models
由: KHAING, Phyo Wai, et al.
出版: (2023)

The multi-agent data collection in HLA-based simulation system
由: SONG, Heng-Jie, et al.
出版: (2007)

Hierarchical reinforcement learning: A comprehensive survey
由: PATERIA, Shubham, et al.
出版: (2021)

User daily activity pattern learning: A multi-memory modeling approach
由: GAO, Shan, et al.
出版: (2014)

On coordinating pervasive persuasive agents
由: SUBAGDJA, Budhitama, et al.
出版: (2014)

Fast reinforcement learning under uncertainties with self-organizing neural networks
由: TENG, Teck-Hou, et al.
出版: (2015)

Cooperative reinforcement learning in topology-based multi-agent systems
由: Xiao, Dan, et al.
出版: (2014)

Mining ontological knowledge from domain-specific text documents
由: JIANG, Xing, et al.
出版: (2005)

CRCTOL: A semantic based domain ontology learning system
由: JIANG, Xing, et al.
出版: (2010)

Mobile humanoid agent with mood awareness for elderly care
由: WANG, Di, et al.
出版: (2014)

Information-theoretic multi-view domain adaptation
由: YANG, Pei, et al.
出版: (2012)

DIRACT: Agent-based interactive storytelling
由: CAI, Yundong, et al.
出版: (2010)

Autonomous agents in snake game via deep reinforcement learning
由: WEI, Zhepei, et al.
出版: (2018)

CRRN: Multi-scale guided concurrent reflection removal network
由: WAN, Renjie, et al.
出版: (2018)

A hybrid agent architecture integrating desire, intention and reinforcement learning
由: TAN, Ah-hwee, et al.
出版: (2011)

Self-organizing neural networks integrating domain knowledge and reinforcement learning
由: TENG, Teck-Hou, et al.
出版: (2015)

Learning to dispatch for job shop scheduling via deep reinforcement learning
由: ZHANG, Cong, et al.
出版: (2020)

Integrating knowledge compilation with reinforcement learning for routes
由: LING, Jiajing, et al.
出版: (2021)

Learning by supervised clustering and matching
由: TAN, Ah-hwee, et al.
出版: (1995)

Multi-agent reinforcement learning for traffic signal control through universal communication method
由: JIANG, Qize, et al.
出版: (2022)

Clustering and its extensions in the social media domain
由: MENG, Lei, et al.
出版: (2019)

Leveraging long short-term user preference in conversational recommendation via multi-agent reinforcement learning
由: DENG, Yang, et al.
出版: (2023)

Hierarchical reinforcement learning with integrated discovery of salient subgoals
由: PATERIA, Shubham, et al.
出版: (2020)

Information-theoretic multi-view domain adaptation: A theoretical and empirical study
由: YANG, Pei, et al.
出版: (2014)

Planning with iFALCON: Towards a neural-network-based BDI agent architecture
由: SUBAGDJA, Budhitama, et al.
出版: (2008)

Generative modelling of stochastic actions with arbitrary constraints in reinforcement learning
由: CHEN, Changyu, et al.
出版: (2023)