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 ...
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Reinforcement learning tames confined cylinder wakes
In fluid dynamics, the wake behind a cylinder can exhibit complex vortex shedding, a phenomenon that becomes even more ...
We welcome contributions to Trax! We welcome PRs with code for new models and layers as well as improvements to our code and documentation. We especially love notebooks that explain how models work ...
Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...
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