Predator-Prey

Emerging

3papers using it

2023first seen

The 'Predator-Prey' dataset is a discrete-action multi-agent reinforcement learning task used to evaluate enhancements to the MADDPG algorithm, focusing on agent cooperation and learning stability.

🔎 Find this dataset

Papers using Predator-Prey (2)

Enhancing the MADDPG Algorithm for Multi-Agent Learning via Action Inference and Importance Sampling2026

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization2023 · 6 cites