{"url":"/dataset/pursuitmw","name":"pursuitMW","full_name":"Multi-agent pursuit in matrix world","description_markdown":"Multi-agent pursuit in matrix world (pursuitMW) is a partially observable Markov game (POMG) between a swarm of pursuers and a swarm of evaders. Algorithms can be developed for the pursuers, evaders, or both of them.","description_withheld":null,"homepage":"https://github.com/LijunSun90/pursuitMatrixWorld/tree/main","introduced_date":"2022-06-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/toward-multi-target-self-organizing-pursuit","title":"Toward multi-target self-organizing pursuit in a partially observable Markov game","first_author":"Lijun Sun","url":null},"license":{"name":"MIT","url":"https://github.com/LijunSun90/pursuitMatrixWorld/blob/main/LICENSE"},"modalities":[{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[{"name":"Multi-agent Reinforcement Learning","url":"/task/multi-agent-reinforcement-learning","datasets_with_task":"/datasets/task/multi-agent-reinforcement-learning"},{"name":"Decision Making","url":"/task/decision-making","datasets_with_task":"/datasets/task/decision-making"},{"name":"Multi-Agent Path Finding","url":"/task/multi-agent-path-finding","datasets_with_task":"/datasets/task/multi-agent-path-finding"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["pursuitMW"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}