Abstract: Thus, while dynamic programming, particularly when combined with the method of successive approximations, is a powerful and flexible weapon for attacking operations research type problems ...

This work models reinforcement-learning experiments using a recurrent neural network. It examines if the detailed credit assignment necessary for back-propagation through time can be replaced with ...

"Agents" originated in reinforcement learning, where they learn by interacting with an environment and receiving a reward signal. However, LLM-based agents today do not learn online (i.e. continuously ...

PLEASE NOTE: Version 4.0.0 will be the last release of OmniIsaacGymEnvs. Moving forward, OmniIsaacGymEnvs will be merging with IsaacLab (https://github.com/isaac-sim ...

Abstract: The recent advancements in integrated sensing and communications (ISACs) technology have introduced new possibilities to address the quality of communication and high-resolution positioning ...

This spring school emphasizes connections across control theory, reinforcement learning and stochastic approximation, enabling students to access these broader themes and start to work on ...

This has created a skills chasm between areas and has become a self-reinforcing cycle, with employers more likely to create high-skilled jobs in the south of England. “To break out of this cycle, we ...

The Canadian International Trade Tribunal today found that the dumping of concrete reinforcing bar, originating in or exported from the Republic of Bulgaria, the Kingdom of Thailand, and the United ...