Synthesize and Reward -- Reinforcement Learning for Multi-Step Tool Use in Live Environments

Ibrahim Abdelaziz, Asim Munawar, Kinjal Basu +4

Training LLMs to orchestrate multi-step tool calls is held back by three coupled obstacles: realistic stateful execution environments are costly to build, synthetic training querie…