Path Tracing with Q-Learning

[Project]

This is an implementation towards Learning Light Transport the Reinforced Way, SIGGRAPH 2017 Talks.

Jen-I Pan

Bachelor Thesis, National Tsing Hua University, 2019

Prerequisites

The device is a NVDIA GPU with CUDA installed on Windows:

• MSVC: > v141
• CUDA: > 10

Reference & Resources

• Ray Tracing from the Ground Up
• Ray Tracing in One Weekend
• Accelerated Ray Tracing in One Weekend in CUDA
• CS 188 at UC Berkeley | Introduction to Artificial Intelligence
• CS 285 at UC Berkeley | Deep Reinforcement Learning
• Dahm, Ken, and Alexander Keller. "Learning light transport the reinforced way." ACM SIGGRAPH 2017 Talks. 2017. 1-2.
• Greger, Gene, et al. "The irradiance volume." IEEE Computer Graphics and Applications 18.2 (1998): 32-43.
• Vose, Michael D. "A linear algorithm for generating random numbers with a given distribution." IEEE Transactions on software engineering 17.9 (1991): 972-975.

Citation

@misc{pan2019,
author = {Pan, Jen-I},
title = {Path Tracing with Q-Learning},
year = {2019}
}