Nice article. It would be great if you add some introduction about RL Agents (Reinforcement learning agent) and compare with LLM agents.LLM-based AI agents are ideal for tasks involving static knowledge retrieval, language processing, and predefined workflows, while reinforcement learning agents are optimized for dynamic environments where continuous adaptation through rewards is necessary.
RL Agents are very well used in robotics and self driving.I am sure combination of both these technologies will create robust applications.
Nice article. It would be great if you add some introduction about RL Agents (Reinforcement learning agent) and compare with LLM agents.LLM-based AI agents are ideal for tasks involving static knowledge retrieval, language processing, and predefined workflows, while reinforcement learning agents are optimized for dynamic environments where continuous adaptation through rewards is necessary.