3 citations · 7 across the 9 of their papers we have counts for
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cs.LG2021★ 1 cited
Meta Arcade: A Configurable Environment Suite for Meta-Learning
Edward W. Staley, Chace Ashcraft, Benjamin Stoler +4
Most approaches to deep reinforcement learning (DRL) attempt to solve a single task at a time. As a result, most existing research benchmarks consist of individual games or suites…
cs.LG2021★ 1 cited
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Edward W. Staley, Corban G. Rivera, Ashley J. Llorens
Advances in reinforcement learning (RL) have resulted in recent breakthroughs in the application of artificial intelligence (AI) across many different domains. An emerging landscap…