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 ...

We propose for risk-sensitive control of finite Markov chains a counterpart of the popular Q-learning algorithm for classical Markov decision processes. The algorithm is shown to converge with ...

The team found that this transfer of learning between the physics model and machine learning algorithm not only improves accuracy, but also happens in just a few seconds, significantly cutting down ...