The company is betting that simulated environments—not more web data—will be key to training the next generation of AI agents.

While artificial intelligence is advancing at a rapid rate, the learning resources for artificial intelligence are also increasing at an equally rapid.

RLinf is a flexible and scalable open-source RL infrastructure designed for Embodied and Agentic AI. The 'inf' in RLinf stands for Infrastructure, highlighting its role as a robust backbone for ...

Abstract: This study introduces a multiobjective deep reinforcement learning (MODRL) framework for the concurrent thermal–hydraulic optimization of the through-silicon-via (TSV) microchannel heat sink ...

Abstract: The cooperative control of UAVs in a complex environment is the key and fundamental problem in intelligent transportation and IoT communication systems. The cooperative control policy of the ...