4.5 Article

Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Oriol Vinyals et al.

NATURE (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios

Yeping Hu et al.

2019 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (2019)

Article Multidisciplinary Sciences

Multiagent cooperation and competition with deep reinforcement learning

Ardi Tampuu et al.

PLOS ONE (2017)

Article Computer Science, Artificial Intelligence

Multi-agent reinforcement learning as a rehearsal for decentralized planning

Landon Kraemer et al.

NEUROCOMPUTING (2016)

Article Multidisciplinary Sciences

Human-level control through deep reinforcement learning

Volodymyr Mnih et al.

NATURE (2015)

Article Chemistry, Analytical

A Multi-Agent Framework for Packet Routing in Wireless Sensor Networks

Dayon Ye et al.

SENSORS (2015)

Review Automation & Control Systems

Cooperative multi-agent learning: The state of the art

L Panait et al.

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS (2005)