QRL Information

QRL aims to restart where OpenAI left! Reinforcement Learning is a crucial aspect of AI that holds immense potential. With a firm belief that RL is the key to unlocking true potential of AI, QRL aims to use Classical and Quantum Reinforcement Learning to solve various critical problems in intelligence. OpenAI's gym was an important aspect that kickstarted mainstream classical RL research. With "qrl-qai", QRL aims to build a quantum analogue of OpenAI's gym python framework. The "qrl-qai" framework is based on PyTorch, PennyLane and Gymnasium (a fork of OpenAI's gym library maintained by Farama Foundation). With Quantum Reinforcement Learning, QRL aims to solve problems at core of Quantum Hardware and Intelligence. The long term goal of QRL is to fuse Quantum and Classical RL into physical intelligence.