OpenAI Benchmarks Reinforcement Learning To Avoid Model Overfitting

OpenAI has benchmarked reinforcement learning by mitigating most of its problems using the procedural generational technique. RL has been a central methodology in the field of artificial intelligence. However, over the years, researchers have witnessed a few shortcomings with the approach. Developers often use a colossal amount of data to train and increase the efficiency of machine learning models. But this has resulted in overfitting of data in many cases, thereby, causing hindrance in the adoption of ML technologies.