As AI agents evolve from simple chatbots to complex problem-solvers, the underlying reinforcement learning systems must adapt to handle long-horizon tasks, tool usage, and real-world interactions. This post explores the challenges and solutions in scaling RL for agentic AI.
As AI agents become more advanced, they require new system designs to handle their complex, multi-step tasks. This post explores the challenges and solutions in agentic RL systems.