Simple Beats Fancy: Neural Encoders Fail to Outsmart Equal-Weight Portfolios
A multi-seed walk-forward study finds that MLP, CNN, LSTM and Transformer encoders in a PPO framework show no reliable Sharpe-ratio ...
A multi-seed walk-forward study finds that MLP, CNN, LSTM and Transformer encoders in a PPO framework show no reliable Sharpe-ratio ...
A reinforcement learning charging strategy that tracks hourly grid carbon intensity cut EV charging emissions by 1.62% while delivering identical ...
An enhanced asynchronous actor-critic framework trained in simulation and on a physical mobile robot showed faster convergence, higher throughput, and ...
A new reinforcement learning method called FA-PPO was the only tested algorithm to complete simulated UAV obstacle-avoidance tasks across three ...
The architecture of cloud radio access networks fundamentally reshapes where computational intelligence lives in a cellular system. In a conventional ...
Researchers embedded Hilbert space-filling curve priors into reinforcement learning, boosting multi-robot ecological survey coverage from 0.589 to 0.895 with DQN ...
A new framework combines conditional GANs, expert-calibrated aesthetic scoring and safe reinforcement learning to let a 23-joint humanoid robot generate ...
Researchers at the University of Calabria have developed RLAX, a reinforcement learning framework that identifies compact, interpretable feature subspaces explaining ...
A new hybrid framework combining a Variational Autoencoder with Proximal Policy Optimization reinforcement learning generates melodies with measurably improved tonal ...
Researchers at Huzhou University have developed ESM, a deep reinforcement learning system that adapts video streaming bitrates to improve perceived ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine