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Found 5 papers, 3 papers with code
i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance
To optimize supply-demand balance and enhance preference satisfaction simultaneously, i-Rebalance has a sequential reposition strategy with dual DRL agents: Grid Agent to determine the reposition order of idle vehicles, and Vehicle Agent to provide personalized recommendations to each vehicle in the pre-defined order.
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Then, the learnt knowledge from edge clients will be aggregated by centralized parameter server, where the knowledge will be selectively and attentively distilled from spatial- and temporal-dimension with carefully designed mechanisms.
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning
To save bandwidth and reduce RTT, VPaaS provides a new video streaming protocol that only sends low-quality video to the cloud.
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Model-Based Reinforcement Learning (MBRL) is one category of Reinforcement Learning (RL) algorithms which can improve sampling efficiency by modeling and approximating system dynamics.
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning
We formulate the building thermal control as a cost-minimization problem which jointly considers the energy consumption of HVAC and the thermal comfort of the occupants.
