Sacramento
PulseAugur coverage of Sacramento — every cluster mentioning Sacramento across labs, papers, and developer communities, ranked by signal.
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New C++ engine HASE achieves 33M steps/sec for multi-agent RL training
Researchers have developed a new C++ engine called Hide-And-Seek-Engine (HASE) designed to significantly improve the efficiency of training reinforcement learning agents in decentralized, partially observable environmen…
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Researchers develop semi-Markov RL for EV ride-hailing, boosting profits and ensuring feasibility.
Researchers have developed a novel Semi-Markov Reinforcement Learning approach for managing large-scale electric vehicle ride-hailing fleets. This method ensures that dispatch, repositioning, and charging decisions stri…
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Researchers develop semi-Markov RL for city-scale EV ride-hailing
Researchers have developed a novel semi-Markov reinforcement learning approach for optimizing city-scale electric vehicle (EV) ride-hailing fleets. This method addresses complex decisions like dispatch, repositioning, a…