6 citations · 12 across the 7 of their papers we have counts for
7 papers
Disc Game Dynamics: A Latent Space Perspective on Selection and Learning in Games
Pablo Lechon-Alonso, Andrew Dennehy, Ruizheng Bai +5
Evolutionary game theory studies populations that change in response to an underlying game. Often, the functional form relating outcome to player attributes or strategy is complex,…
Exploring the Stratified Space Structure of an RL Game with the Volume Growth Transform
Justin Curry, Brennan Lagasse, Ngoc B. Lam +3
In this work, we explore the structure of the embedding space of a transformer model trained for playing a particular reinforcement learning (RL) game. Specifically, we investigate…
Principal Trade-off Analysis
Alexander Strang, David SeWell, Alexander Kim +2
How are the advantage relations between a set of agents playing a game organized and how do they reflect the structure of the game? In this paper, we illustrate "Principal Trade-of…
Soft Actor-Critic with Inhibitory Networks for Faster Retraining
Jaime S. Ide, Daria Mićović, Michael J. Guarino +3
Reusing previously trained models is critical in deep reinforcement learning to speed up training of new agents. However, it is unclear how to acquire new skills when objectives an…
Ethics, Rules of Engagement, and AI: Neural Narrative Mapping Using Large Transformer Language Models
Philip Feldman, Aaron Dant, David Rosenbluth
The problem of determining if a military unit has correctly understood an order and is properly executing on it is one that has bedeviled military planners throughout history. The…
A Photonic-Circuits-Inspired Compact Network: Toward Real-Time Wireless Signal Classification at the Edge
Hsuan-Tung Peng, Joshua Lederman, Lei Xu +5
Machine learning (ML) methods are ubiquitous in wireless communication systems and have proven powerful for applications including radio-frequency (RF) fingerprinting, automatic mo…
Hierarchical Reinforcement Learning for Air Combat at DARPA's AlphaDogfight Trials
Adrian P. Pope, Jaime S. Ide, Daria Micovic +7
Autonomous control in high-dimensional, continuous state spaces is a persistent and important challenge in the fields of robotics and artificial intelligence. Because of high risk…