AI RESEARCH
Dual-Gated Epistemic Time-Dilation: Autonomous Compute Modulation in Asynchronous MARL
arXiv CS.LG
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ArXi:2603.23722v1 Announce Type: cross While Multi-Agent Reinforcement Learning (MARL) algorithms achieve unprecedented successes across complex continuous domains, their standard deployment strictly adheres to a synchronous operational paradigm. Under this paradigm, agents are universally forced to execute deep neural network inferences at every micro-frame, regardless of immediate necessity. This dense throughput acts as a fundamental barrier to physical deployment on edge-devices where thermal and metabolic budgets are highly constrained.