数据链接:
官方服务:
资源简介:
https://github.com/Farama-Foundation/CrowdPlay
应用场景:
创建时间:
2024-10-04
相关数据集
20210312-DOLA: Agent adapt ontologies to agree on decision taking (adaptation operators comparison)
This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment. Experiment Label: 20210312-DOLA Experiment design: Agent adapt ontologies
NIAID Data Ecosystem70
20230110-MTOA: Carrying fewer tasks is detrimental to the accuracy of agents with un-restricted resources.
This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.Experiment Label: 20230110-MTOAExperiment design: Agents specialize by focus
Zenodo2024-05-14 更新20
SΔϕ-15 AI-READABLE Package — Trust, Hope, and Promise as Pre-Commitment Operators (v1.0)
This record provides the AI-readable structured package for SΔϕ-15 — Trust, Hope, and Promise as Pre-Commitment Operators (v1.0) . SΔϕ-15 formalizes trust, hope, and promis
Zenodo2026-05-18 更新10
RoboCup
RoboCup 是一项倡议,研究小组通过让他们的机器人参加足球比赛来进行竞争。踢足球需要解决几个具有挑战性的任务,例如视觉、动作和团队协调。将研究工作放在足球上会吸引公众对机器人技术的兴趣(和潜在的研究资金),否则这对非专家来说可能不那么有趣。
OpenXLab30
Council of AI Performance Overview.
The stochastic nature of next-token generation and resulting response variability in Large Language Models (LLMs) outputs pose challenges in ensuring consistency and accuracy on knowledge assessments.
Figshare2025-10-09 更新20



