3 papers
cs.AI2026
R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning
Haobin Qin, Baofeng Zhang, Hidehisa Akiyama +1
Robot soccer is a challenging testbed for multi-agent reinforcement learning because it combines partial observability, cooperative and adversarial interaction, sparse rewards, and…
cs.AI2025
Velocity Completion Task and Method for Event-based Player Positional Data in Soccer
Rikuhei Umemoto, Keisuke Fujii
In many real-world complex systems, the behavior can be observed as a collection of discrete events generated by multiple interacting agents. Analyzing the dynamics of these multi-…
stat.AP2025
Space evaluation at the starting point of soccer transitions
Yohei Ogawa, Rikuhei Umemoto, Keisuke Fujii
Soccer is a sport played on a pitch where effective use of space is crucial. Decision-making during transitions, when possession switches between teams, has been increasingly impor…