Abstract: This study addresses a variant of the Vehicle Routing Problem (VRP) with customer priorities. In the variant, we assume the hard priority constraint where customers should be served in a ...
Dark Zero Point Genesis: PPO Latent World Models Under Thermodynamic Scarcity 256 agents. 128D Latent Manifolds. Zero supervision. Agents utilize PPO-clipped ...
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by ''Shapley Q-value: A Local Reward Approach to Solve Global ...
Abstract: This paper proposes a demand-aware component carrier selection (CCS) algorithm, called Load-Adaptive Carrier Selection (LACS), for 5G-NR/4G-LTE heterogeneous networks. LACS integrates greedy ...
ABSTRACT: Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Critically, quantum wave ...
Explore the reinforcement learning algorithm that achieves performance comparable to GRPO in RLVR with minimal complexity. Learn how it works, why it’s effective, and its practical applications in RL ...
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