Abstract: Deep reinforcement learning has gained increasing popularity in the beyond visual range engagement of unmanned combat aerial vehicles. Regardless of the success of the maneuvering decision, ...
Abstract: We study the use of large language models (LLMs) to integrate high-level knowledge in stochastic games using reinforcement learning with reward machines to encode non-Markovian and Markovian ...
Are you passionate about developing AI-based and quantum-inspired solutions for the next generation of sustainable energy systems? We are now looking for a fully funded Doctoral Researcher to work on ...
Overview: Explore the leading Physical AI development platforms used for robot simulation, reinforcement learning, synthetic ...
Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...
DR Tulu-8B is the first open Deep Research (DR) model trained for long-form DR tasks. DR Tulu-8B matches OpenAI DR on long-form DR benchmarks. Feburary 9, 2026: š„ We released a free interactive demo ...
To address data selection for RLVR post-training, LearnAlign is proposedāutilizing "gradient alignment" as a representativeness metric and "success rate $V(\xi)=p(1 ...
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