68 citations · 204 across the 19 of their papers we have counts for
4 papers · 1 filter
Comparison of Multi-agent and Single-agent Inverse Learning on a Simulated Soccer Example
Xiaomin Lin, Peter A. Beling, Randy Cogill
We compare the performance of Inverse Reinforcement Learning (IRL) with the relative new model of Multi-agent Inverse Reinforcement Learning (MIRL). Before comparing the methods, w…
Classroom Video Assessment and Retrieval via Multiple Instance Learning
Qifeng Qiao, Peter A. Beling
We propose a multiple instance learning approach to content-based retrieval of classroom video for the purpose of supporting human assessing the learning environment. The key eleme…
Multi-agent Inverse Reinforcement Learning for Two-person Zero-sum Games
Xiaomin Lin, Peter A. Beling, Randy Cogill
The focus of this paper is a Bayesian framework for solving a class of problems termed multi-agent inverse reinforcement learning (MIRL). Compared to the well-known inverse reinfor…
Real Time Strategy Language
Roy Hayes, Peter Beling, William Scherer
Real Time Strategy (RTS) games provide complex domain to test the latest artificial intelligence (AI) research. In much of the literature, AI systems have been limited to playing o…