EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Abstract: Communication networks are difficult to model and predict because they have become very sophisticated and dynamic. We develop a reinforcement learning routing algorithm (RLRouting) to solve ...

SummaryRFIC design is a complex “dark art” that limits progress in wireless technologies like 5G, autonomous vehicles, and ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

This suite implements several model-free off-policy deep reinforcement learning algorithms for discrete and continuous action spaces in PyTorch. DQN Single Discrete Mnih et. al. 2015 Double DQN Single ...

Perioperative anemia and red blood cell transfusions are important risk factors for morbidity and mortality in cardiac ...

In fluid dynamics, the wake behind a cylinder can exhibit complex vortex shedding, a phenomenon that becomes even more ...

Abstract: Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as possible ...

One of the key challenges of building effective AI agents is teaching them to choose between using external tools or relying on their internal knowledge. But large language models are often trained to ...

An RL agent, by contrast, often gets only sparse feedback about whether it reached a goal or not. CRL teaches the agent a simple skill: to tell whether a move looks like part of a path that really ...

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...