2 papers
cs.AI2026
From Pixels to Digital Agents: An Empirical Study on the Taxonomy and Technological Trends of Reinforcement Learning Environments
Lijing Luo, Yiben Luo, Alexey Gorbatovski +2
The remarkable progress of reinforcement learning (RL) is intrinsically tied to the environments used to train and evaluate artificial agents. Moving beyond traditional qualitative…
cs.CL2024
Reinforcement learning for question answering in programming domain using public community scoring as a human feedback
Alexey Gorbatovski, Sergey Kovalchuk
In this study, we investigate the enhancement of the GPT Neo 125M performance in Community Question Answering (CQA) with a focus on programming, through the integration of Reinforc…