Fabrice Kusters

MEAL: A Benchmark for Continual Multi-Agent Reinforcement Learning

Benchmarks play a central role in reinforcement learning (RL) research, yet their computational constraints often shape what is studied. Despite the motivation of lifelong learning, most continual RL papers consider only 3–10 sequential tasks, as CPU-bound environments make longer sequences impracti…