Deep Reinforcement Learning (DRL)
PulseAugur coverage of Deep Reinforcement Learning (DRL) — every cluster mentioning Deep Reinforcement Learning (DRL) across labs, papers, and developer communities, ranked by signal.
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New variational approach enhances AI for job shop scheduling problems
Researchers have developed a new Variational Graph-to-Scheduler (VG2S) framework to address challenges in solving the Job Shop Scheduling Problem (JSSP). This novel approach, detailed in a recent arXiv paper, utilizes v…
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New research explores DRL for safe CAV platoon joining in mixed traffic
A new research paper proposes a simulation framework to evaluate deep reinforcement learning (DRL) algorithms for connected and automated vehicle (CAV) platoon joining maneuvers in mixed traffic. The study compares Deep…
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New adaptive attack targets wireless control systems using critic disagreement
Researchers have developed a new adaptive reward poisoning attack called Disagreement-Guided Reward Poisoning (DGRP) that targets learning-based wireless control systems. This attack specifically exploits disagreements …