Since the news of Q* broke, many researchers outside OpenAI have speculated about whether the name is a reference to other existing techniques within the field, such as Q-learning, a technique for ...

OpenAI Qstar algorithm Watch this video on YouTube. What makes the Q* algorithm particularly powerful is its combination of Q-learning with advanced pathfinding techniques.

Unlike basic Q-learning algorithms, which generally focus on finding the optimal path to maximize rewards, the modified bandit Q-learning algorithm aims to learn the optimal Q value for every ...

The battle at OpenAI was possibly due to a massive breakthrough dubbed Q* (Q-learning). Q* is a precursor to AGI. What Q* might have done is bridged a big gap between Q-learning and pre-determined ...

This dynamic evaluation informed the Q-learning algorithm's decision-making process by revealing how a particular path or core performs under specific congestion conditions. This thesis concludes that ...

Q-learning is a model-free, value-based, off-policy algorithm for reinforcement learning that will find the best series of actions based on the current state. The “Q” stands for quality.

The Nvidia researchers used a fully convolutional neural network and the Q-learning algorithm – an RL algorithm – for their work. The algorithm trained the circuit design agent using a grid ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...