Q-network
PulseAugur coverage of Q-network — every cluster mentioning Q-network across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
-
Pinterest uses RL to optimize ad bidding parameters, cutting costs
Researchers at Pinterest have developed RLBP, a novel system that uses reinforcement learning to optimize controller parameters for auto-bidding in online advertising. This hybrid architecture employs RL as a meta-contr…
-
CoSMO framework optimizes edge-cloud task execution using reinforcement learning
Researchers have developed CoSMO, a novel reinforcement learning framework designed to optimize task execution in edge-cloud computing environments. This system addresses the challenge of partial observability by coordi…
-
Neuromorphic learning cuts deep brain stimulation energy by 80%
Researchers have developed an energy-aware learning approach for adaptive deep brain stimulation (DBS) to treat Parkinson's disease. This method directly incorporates actuator energy into the reinforcement learning rewa…
-
New framework uses AI for geosteering under uncertainty
A new framework integrates particle filtering with reinforcement learning to optimize geosteering decisions under geological uncertainty. This approach uses particle filtering for probabilistic subsurface interpretation…
-
Multi-Agent RL Maps River Plumes Efficiently
Researchers have developed a novel multi-agent reinforcement learning approach for long-term mapping of river plumes, specifically demonstrated using the Douro River. This method employs a central coordinator that inter…