Showing cs.AIShow all
3 papers · 1 filter
cs.AI2025
Building reliable sim driving agents by scaling self-play
Daphne Cornelisse, Aarav Pandya, Kevin Joseph +2
Simulation agents are essential for designing and testing systems that interact with humans, such as autonomous vehicles (AVs). These agents serve various purposes, from benchmarki…
cs.AI2024
Massively Multiagent Minigames for Training Generalist Agents
Kyoung Whan Choe, Ryan Sullivan, Joseph Suárez
We present Meta MMO, a collection of many-agent minigames for use as a reinforcement learning benchmark. Meta MMO is built on top of Neural MMO, a massively multiagent environment…
cs.AI2023★ 1 cited
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Joseph Suárez, Phillip Isola, Kyoung Whan Choe +15
Neural MMO 2.0 is a massively multi-agent environment for reinforcement learning research. The key feature of this new version is a flexible task system that allows users to define…