4 citations · 4 across the 4 of their papers we have counts for
4 papers
Scaling Behavior Cloning Improves Causal Reasoning: An Open Model for Real-Time Video Game Playing
Yuguang Yue, Irakli Salia, Samuel Hunt +3
Behavior cloning has seen a resurgence as scaling model and data sizes demonstrate strong performance. In this work, we introduce an open recipe for training a video game playing f…
Learning to play: A Multimodal Agent for 3D Game-Play
Yuguang Yue, Irakli Salia, Samuel Hunt +3
We argue that 3-D first-person video games are a challenging environment for real-time multi-modal reasoning. We first describe our dataset of human game-play, collected across a l…
Pixels to Play: A Foundation Model for 3D Gameplay
Yuguang Yue, Chris Green, Samuel Hunt +3
We introduce Pixels2Play-0.1 (P2P0.1), a foundation model that learns to play a wide range of 3D video games with recognizable human-like behavior. Motivated by emerging consumer a…
On Gradient Boosted Decision Trees and Neural Rankers: A Case-Study on Short-Video Recommendations at ShareChat
Olivier Jeunen, Hitesh Sagtani, Himanshu Doi +7
Practitioners who wish to build real-world applications that rely on ranking models, need to decide which modelling paradigm to follow. This is not an easy choice to make, as the r…