In this presentation, Dr. Jonathan Dodge presents Mastering the game of Stratego with model-free multiagent reinforcement learning, by Perolat et al. In it, the authors dispose of the Monte Carlo Tree Search (MCTS) systems of previous solutions, opting instead for a...
In this presentation, Dr. Jonathan Dodge presents Creating an African American-Sounding TTS: Guidelines, Technical Challenges, and Surprising Evaluations, by Pinhanez et al. In it, the authors go through a process of working with stakeholders to develop a...
PLAINTEXT in the news! Read more about it and the other accepted students here: https://ist.psu.edu/about/news/lindiv%20fellowships
In this presentation, Dr. Jonathan Dodge presents Is Explainable AI a Race Against Model Complexity, by Sarkar et al. In it, the author thinks through implications the rapid rise in size of models paired with slow improvements in explaining such complex systems....
In this presentation, Sourav Panda presents Fast and Data Efficient RL from Pixels Using Non-Parametric Value Approximation, by Long et al. In it, the authors introduce a way to learn action selection in RL domains directly from pixel-level feature data that is highly...
In this presentation, Jeff Schulman presents We’re Still People and Not Only Emails That We Are Sending: Shared Cognition in Distributed Design Collaboration…, by Nguyen and Mougenot. In it, the authors examine the presence and suitability of a variety of...
In this presentation, Mitchell Hoesing presents Why Most Published Research Findings Are False, by Ioannidis. In it, the author constructs a simple mathematical model based on parameters of statistical analysis and draws charts that compute probabilities that findings...
In this presentation, Mitchell Hoesing presents Attention is All You Need, by Vaswani et al. This paper introduces the transformer architecture, which is current state of the art on a number of benchmark tasks. Prior to the transformer, sequence data would usually...
In this presentation, Dr. Jonathan Dodge presents Generative Agents: Interactive Simulacra of Human Behavior, by Park et al. The authors create a sandbox environment resembling The Sims, with agents interacting with each other. They find generative agents could...
In this presentation, Dr. Jonathan Dodge presents Grandmaster level in StarCraft II using multi-agent reinforcement learning, by Vinyals et al. In this paper, the authors introduce AlphaStar, which plays a complex real-time strategy game as well as very-top-quality...
