Abstract: This work evaluates the effectiveness of entropy-regularized Reinforcement Learning (RL) by contrasting Soft Value Iteration with conventional Bellman-based approaches. Based on the Maximum ...

Google Doodle: On 12 November 2025, Google has launched a special animated Doodle titled “Learning the Quadratic Equation (India)” a vibrant tribute to one of the most searched and wide-ranging ...

Abstract: In most memristive neural network circuits based on operant conditioning, the agent’s tendency towards certain behaviors is simply reflected through changes in synaptic weight. No specific ...

Reinforcement Pre-Training (RPT) is a new method for training large language models (LLMs) by reframing the standard task of predicting the next token in a sequence as a reasoning problem solved using ...

The age of truly autonomous artificial intelligence, where systems proactively learn, adapt and optimize amid real-world complexities instead of simply reacting, has been a long-held aspiration. Now, ...

This Olympiad-level equation has stumped so many—think you’ve got what it takes? Watch closely and test your brainpower! #MathOlympiad #BrainTeaser #SolveThis Blast at a Tennessee explosives plant ...

Having spent the last two years building generative AI (GenAI) products for finance, I've noticed that AI teams often struggle to filter useful feedback from users to improve AI responses.

Ambuj Tewari receives funding from NSF and NIH. Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a ...

In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...