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searching for Multi-agent reinforcement learning 14 found (45 total)

alternate case: multi-agent reinforcement learning

GLOP (134 words) [view diff] exact match in snippet view article find links to article

Ten Cent Diet". "A structured prediction approach for generalization in cooperative multi-agent reinforcement learning". GLOP home page GLOP source code

David Silver (computer scientist) (712 words) [view diff] exact match in snippet view article

(30 October 2019). "Grandmaster level in StarCraft II using multi-agent reinforcement learning". Nature. 575 (7782): 350–354. doi:10.1038/S41586-019-1724-Z

Michael L. Littman (631 words) [view diff] case mismatch in snippet view article find links to article

Littman, Michael L. (1994). "Markov Games as a Framework for Multi-Agent Reinforcement Learning". International Conference on Machine Learning (ICML). pp

Oriol Vinyals (516 words) [view diff] exact match in snippet view article find links to article

Junhyuk (2019-11-14). "Grandmaster level in StarCraft II using multi-agent reinforcement learning". Nature. 575 (7782): 350–354. Bibcode:2019Natur.575..350V

AlphaStar (software) (1,573 words) [view diff] exact match in snippet view article

(30 October 2019). "Grandmaster level in StarCraft II using multi-agent reinforcement learning". Nature. 575 (7782): 350–354. Bibcode:2019Natur.575..350V

Deep reinforcement learning (1,658 words) [view diff] exact match in snippet view article find links to article

benchmarks and real-world applications. Other methods include multi-agent reinforcement learning, hierarchical RL, and approaches that integrate planning or

Routing (3,766 words) [view diff] exact match in snippet view article find links to article

Routing, Nov/Dec 2005. Shahaf Yamin and Haim H. Permuter. "Multi-agent reinforcement learning for network routing in integrated access backhaul networks"

Amnon Shashua (1,690 words) [view diff] no match in snippet view article find links to article

Shalev-Shwartz, S; Shammah, S; Shashua, A (2016). "Safe, multi-agent, reinforcement learning for autonomous driving". arXiv:1610.03295 [cs.AI]. Shalev-Shwartz

Eric Schmid (837 words) [view diff] exact match in snippet view article find links to article

topology, with applications to artificial intelligence and multi-agent reinforcement learning systems. From whose ground heaven and hell compare, Croy Nielsen

Markov decision process (5,156 words) [view diff] exact match in snippet view article find links to article

ISBN 978-3-642-02546-4. Shoham, Y.; Powers, R.; Grenager, T. (2003). "Multi-agent reinforcement learning: a critical survey" (PDF). Technical Report, Stanford University:

Crowd simulation (6,640 words) [view diff] case mismatch in snippet view article find links to article

Torrey, Lisa (10 October 2010). "Crowd Simulation Via Multi-Agent Reinforcement Learning". Proceedings of the AAAI Conference on Artificial Intelligence

Gerald Tesauro (1,636 words) [view diff] exact match in snippet view article find links to article

competitive environments. It was an early application of multi-agent reinforcement learning to economic modeling and automated trading. He also explored

Game theory (15,399 words) [view diff] case mismatch in snippet view article find links to article

Stefano V.; Christianos, Filippos; Schäfer, Lukas (2024). Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. MIT Press. ISBN 978-0-262-04937-5

Drones in wildfire management (4,519 words) [view diff] case mismatch in snippet view article find links to article

"Distributed Cooperative Spectrum Sharing in UAV Networks Using Multi-Agent Reinforcement Learning". 2019 16th IEEE Annual Consumer Communications & Networking