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Multi-agent Reinforcement Learning datasets

archive 2025-07-28

9 datasets carry the task tag "Multi-agent Reinforcement Learning" (the task itself: Multi-agent Reinforcement Learning), ordered by the archive's paper count. Page 1 of 1: 9 shown of 9. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Multi-agent Reinforcement Learning datasets 1–9 of 9

CityFlow

CityFlow is a city-scale traffic camera dataset consisting of more than 3 hours of synchronized HD videos from 40 cameras across 10 intersections, with the longest distance between two simultaneous cameras being 2.5 km.

Images Videos Person Re-Identification Multi-agent Reinforcement Learning Vehicle Re-Identification Attribute

47 papers · 1 benchmark

StarCraft II Learning Environment

The StarCraft II Learning Environment (S2LE) is a reinforcement learning environment based on the game StarCraft II.

Environment Multi-agent Reinforcement Learning Starcraft II Starcraft

26 papers · 0 benchmarks

SMAC-Exp (StarCraft Multi-Agent Exploration Challenge)

The StarCraft Multi-Agent Challenges+ requires agents to learn completion of multi-stage tasks and usage of environmental factors without precise reward functions.

Environment Multi-agent Reinforcement Learning SMAC+Starcraft II

11 papers · 2 benchmarks

Hanabi Learning Environment

A new challenge domain with novel problems that arise from its combination of purely cooperative gameplay with two to five players and imperfect information.

Multi-agent Reinforcement Learning Policy Gradient Methods Game of Hanabi

10 papers · 0 benchmarks

OG-MARL (Off-the-Grid MARL Datasets)

Diverse datasets for offline multi-agent reinforcement learning research.

Multi-agent Reinforcement Learning

6 papers · 0 benchmarks

CivRealm

Click to add a brief description of the dataset (Markdown and LaTeX enabled).

Environment Multi-agent Reinforcement Learning Reinforcement Learning (RL)

4 papers · 0 benchmarks

ColosseumRL

ColosseumRL is a framework for research in reinforcement learning in n-player games.

Environment Multi-agent Reinforcement Learning

1 paper · 0 benchmarks

RoomEnv-v0 (The Room environment - v0)

The Room environment - v0 We have released a challenging Gymnasium compatible environment.

Texts Graphs Multi-agent Reinforcement Learning RoomEnv-v0

1 paper · 1 benchmark

pursuitMW (Multi-agent pursuit in matrix world)

Multi-agent pursuit in matrix world (pursuitMW) is a partially observable Markov game (POMG) between a swarm of pursuers and a swarm of evaders.

Environment Multi-agent Reinforcement Learning Decision Making Multi-Agent Path Finding

1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.

Multi-agent Reinforcement Learning datasets

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Multi-agent Reinforcement Learning datasets 1–9 of 9