Tag: deep reinforcement learning

A simulation study reports that a model-free TD3 deep reinforcement learning controller outperforms PID and fuzzy benchmarks in trajectory tracking ...

The MARLIN framework learns delay prediction and routing from five raw IoT sensor streams, but its benchmark uses synthetic labels ...

A deep reinforcement learning framework called AlphaZeroBeta achieved an average out-of-sample Sharpe ratio of 1.25 across seven global equity indices ...

A deep reinforcement learning model achieved 88.67 percent accuracy in identifying disclosure quality and 86.50 percent in detecting violations among ...

A hybrid deep reinforcement learning and genetic algorithm approach improves P-cycle protection in elastic optical networks, simulations suggest.

A new framework called TinyRoute combines TinyML, reinforcement learning, and few-shot learning to achieve adaptive routing and zero-day attack detection ...

Researchers simulated a dual-mode 6G architecture in which a UAV-mounted reconfigurable intelligent surface and a hybrid deep reinforcement learning framework ...

Researchers coupled the AquaCrop crop model with a disturbance-trained deep reinforcement learning agent that cut simulated greenhouse tomato irrigation by ...

A new open-access study combines Transformer temporal encoding with proximal policy optimization to personalize long-term digital psychological interventions, reporting significantly ...

A double deep Q-network combining news and social-media sentiment with price, volume and momentum signals outperformed four machine-learning approaches in ...