Mappō
PulseAugur coverage of Mappō — every cluster mentioning Mappō across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
-
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…
-
MARL benchmarks may not require complex reasoning, study finds
A new research paper published on arXiv questions the effectiveness of current benchmarks in cooperative multi-agent reinforcement learning (MARL). The study introduces diagnostic tools to assess whether agents truly em…
-
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…
-
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…