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cs.LG2024★ 3 cited
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother, Jordi Orbay, Quan Vuong +9
Value functions are a central component of deep reinforcement learning (RL). These functions, parameterized by neural networks, are trained using a mean squared error regression ob…
cs.LG2024★ 3 cited
V-STaR: Training Verifiers for Self-Taught Reasoners
Arian Hosseini, Xingdi Yuan, Nikolay Malkin +3
Common self-improvement approaches for large language models (LLMs), such as STaR, iteratively fine-tune LLMs on self-generated solutions to improve their problem-solving ability.…