GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Taylor Soper on Sep 4, 2025 at 8:00 ...

Short fiber reinforcement has been used in elastomeric and thermoplastic compounds to enhance properties, yet the underlying science is often misunderstood; the authors provide an overview of the ...

By application domain, the autonomous systems segment is expected to witness the fastest growth during the forecast period. By technology stack, the learning and adaptation frameworks segment captured ...

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This study addresses the challenges of uncertainty in wave simulations within complex and dynamic ocean environments by proposing a reinforcement learning-based model ensemble algorithm. The algorithm ...

Prior work suggests SFT risks overfitting to training data, making models brittle when faced with new task variants. For example, an SFT-tuned model might excel at arithmetic problems using specific ...

Abstract: Reinforcement learning methods are mainly divided into two categories based on value functions and policies. This article systematically introduces and summarizes reinforcement learning ...

This paper investigates the potential of the intrinsically motivated reinforcement learning (IMRL) approach for robotic drumming. For this purpose, we implemented an IMRL-based algorithm for a ...