Aske Plaat

Model-Based Deep Reinforcement Learning for High-Dimensional Problems, a Survey.

2020 · arXiv (Cornell University)

Deep reinforcement learning has shown remarkable success in the past few years. Highly complex sequential decision making problems have been solved in tasks such as game playing and robotics. Unfortunately, the sample complexity of most …

Agentic Large Language Models, a Survey

2025 · Journal of Artificial Intelligence Research

Background: There is great interest in agentic LLMs, large language models that act as agents. Objectives: We review the growing body of work in this area and provide a research agenda. Methods: Agentic LLMs are …