DAC-CPPO model reports stronger risk-adjusted portfolio allocation performance
The DAC-CPPO reinforcement learning model reported a 1.91 Sharpe ratio and 0.14 volatility, outperforming comparison models in the study’s portfolio ...
The DAC-CPPO reinforcement learning model reported a 1.91 Sharpe ratio and 0.14 volatility, outperforming comparison models in the study’s portfolio ...
A wind-tunnel reinforcement-learning system reduced drag and saved energy in a turbulent bluff-body wake, outperforming model-based baselines two to fourfold.
A double deep Q-network combining news and social-media sentiment with price, volume and momentum signals outperformed four machine-learning approaches in ...
A deep reinforcement learning system rethinks how video storage tiers are managed, lifting streaming quality by up to 31.4% while ...
Researchers trained a deep reinforcement learning agent to plan collision-free paths for a fuel-saving free-floating space manipulator, even with noisy ...
Researchers embedded Hilbert space-filling curve priors into reinforcement learning, boosting multi-robot ecological survey coverage from 0.589 to 0.895 with DQN ...
Every day, at thousands of intersections around the world, a quiet and deadly negotiation takes place. A driver wants to ...
A new deep reinforcement learning framework improves personalized e-commerce marketing by balancing short-term conversions with long-term customer value.
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© 2025 Scienmag - Science Magazine