Seth Karten (Princeton University)
Opening presentation introducing the PokeAgent Challenge, its scientific relevance and challenges, and key research frontiers in game AI.
Aaron Traylor (Work conducted independently)
A deep dive into strategic decision-making under imperfect information and their applications in AI systems from Pokémon VGC (Video Game Championship) World Finalist.
Minmin Chen (Google DeepMind)
Exploring Google DeepMind's game AI initiatives, including the Gemini project and Kaggle's Game Arena platform.
Top Teams (5 minutes each)
Celebration and recognition of winning teams with brief presentations showcasing their innovative approaches and solutions.
Moderators: Jake Grigsby (UT Austin) & Seth Karten (Princeton)
Panelists: Stephanie Milani (NYU / Johns Hopkins), Fei Fang (CMU), Chi Jin (Princeton), Minmin Chen (Google DeepMind), Aaron Traylor (Work conducted independently)
An engaging discussion on the future of game AI research, specialist RL agents vs generalist LLM agents, emerging challenges, and opportunities for advancing foundation agents.
Chi Jin (Princeton University)
Final thoughts and reflections on the competition, with a look ahead to future directions in learning foundation agents from games.
Work conducted independently
Invited Speaker
Google DeepMind
Invited Speaker
UT Austin
Moderator
Princeton University
Moderator
NYU / Johns Hopkins
Panelist
CMU
Panelist
Princeton University
Panelist
Google DeepMind
Panelist
Work conducted independently
Panelist