MADDPG
PulseAugur coverage of MADDPG — every cluster mentioning MADDPG across labs, papers, and developer communities, ranked by signal.
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New DRL Framework Optimizes Urban EV Fleet Control
Researchers have developed a new framework for controlling urban electric vehicle (EV) fleets that uses distributionally robust reinforcement learning (DRL) to handle uncertain demand and travel times. This approach, ca…
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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…
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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…