Abstract: Reducing learning energy consumption is critical to edge-artificial intelligence (AI) processors with on-chip learning since on-chip learning energy dominates energy consumption, especially ...
Abstract: Asynchronous Proximal Policy Optimization (APPO) has emerged as a crucial framework for achieving scalability in distributed reinforcement learning. In this paper, we propose an enhanced ...
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