Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

A new semantic-driven search tool built on a ROS Package Knowledge Graph delivers over 21% higher accuracy than traditional methods, helping ...

Researchers found a clear way to show that for some puzzle-like problems there is no shortcut and you must check every possibility, helping set ...

Policy search in reinforcement learning (RL) is a practical approach to interact directly with environments in parameter spaces, that often deal with dilemmas of local optima and real-time sample ...

This work tackles an integrated order batching, picker assignment, batch sequencing, and picker routing problem in warehouse environments. A Learning-Aided Iterated Local Search (LILS) is proposed to ...

Clarice Starling: Go, doctor. Of course, relatively few examples of quid pro quo involve an FBI agent attempting to obtain information from a prolific serial killer/cannibal.

Take big-box retailer Costco (COST -0.36%), for example. Costco sells bulk items at below-average prices to its customers, which drives significant sales volume even though margins are slim.

Pets Finder uses embedding models to match images and textual descriptions of pets. Whether you're looking for a lost pet or trying to help someone reunite with theirs. Pets Finder enables fast and ...