Open access
Aug 2026
Large Language Models and Reinforcement Learning: A Taxonomy of Integration Paradigms, Challenges, and Future Directions
This paper highlights the transition from static prediction to sequential decision-making, emphasizing RL’s strengths in long-term reward optimization and interaction modeling, and LLMs’ advantages in semantic understanding and reasoning.
Xi-Qian Lu
· Computers and artificial int... · 0 citations