3 papers
cs.GR2026
PyBatchRender: A Python Library for Batched 3D Rendering at Up to One Million FPS
Evgenii Rudakov, Jonathan Shock, Benjamin Ultan Cowley
Reinforcement learning from pixels is often bottlenecked by the performance and complexity of 3D rendered environments. Researchers face a trade-off between high-speed, low-level e…
cs.AI2025
Graph-Based Exploration for ARC-AGI-3 Interactive Reasoning Tasks
Evgenii Rudakov, Jonathan Shock, Benjamin Ultan Cowley
We present a training-free graph-based approach for solving interactive reasoning tasks in the ARC-AGI-3 benchmark. ARC-AGI-3 comprises game-like tasks where agents must infer task…
cs.HC2025
SSSUMO: Real-Time Semi-Supervised Submovement Decomposition
Evgenii Rudakov, Jonathan Shock, Otto Lappi +1
This paper introduces a SSSUMO, semi-supervised deep learning approach for submovement decomposition that achieves state-of-the-art accuracy and speed. While submovement analysis o…