BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.devconf.info//devconf-us-2025//talk//FUVSQC
BEGIN:VTIMEZONE
TZID:EST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T070000Z
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T080000Z
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-devconf-us-2025-FUVSQC@pretalx.devconf.info
DTSTART;TZID=EST:20250919T142000
DTEND;TZID=EST:20250919T145500
DESCRIPTION:Join Christopher Nuland as he revisits the thrilling world of t
 he 1990s arcade game Double Dragon\, exploring advanced techniques in dist
 ributed AI training using Kubernetes and KubeRay on OpenShift. This sessio
 n dives into the application of OpenShift to deploy game simulations acros
 s a cluster\, enabling rapid AI training through distributed computing. Di
 scover how the integration of KubeRay enhances these processes\, significa
 ntly reducing the time required for training reinforcement learning models
  like Deep Q-Network (DQN) and Proximal Policy Optimization (PPO).\n\nWitn
 ess firsthand how these technologies are applied to train AI agents that c
 an master complex video games\, demonstrating the power and scalability of
  OpenShift for AI training. The talk will cover practical steps for settin
 g up and managing distributed training environments\, optimizing resource 
 usage\, and achieving faster convergence times in AI model training.\n\nBe
 yond gaming\, Christopher will discuss the broader implications of these t
 echniques in fields requiring large-scale AI solutions\, such as healthcar
 e and autonomous driving. The presentation aims to empower attendees with 
 the knowledge to leverage Kubernetes and OpenShift in their AI projects\, 
 fostering innovation and efficiency in their operations.
DTSTAMP:20260315T083836Z
LOCATION:Ladd Room (Capacity 170)
SUMMARY:How I trained an AI Model to Beat the 1990's Arcade Game Double Dra
 gon - Christopher Nuland
URL:https://pretalx.devconf.info/devconf-us-2025/talk/FUVSQC/
END:VEVENT
END:VCALENDAR