32 citations · 88 across the 33 of their papers we have counts for
4 papers · 1 filter
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
Ahmad Ahmad, Mehdi Kermanshah, Kevin Leahy +6
In this paper, we tackle the challenging problem of delayed rewards in reinforcement learning (RL). While Proximal Policy Optimization (PPO) has emerged as a leading Policy Gradien…
Learning Optimal Signal Temporal Logic Decision Trees for Classification: A Max-Flow MILP Formulation
Kaier Liang, Gustavo A. Cardona, Disha Kamale +1
This paper presents a novel framework for inferring timed temporal logic properties from data. The dataset comprises pairs of finite-time system traces and corresponding labels, de…
Time-Incremental Learning from Data Using Temporal Logics
Erfan Aasi, Mingyu Cai, Cristian Ioan Vasile +1
Real-time and human-interpretable decision-making in cyber-physical systems is a significant but challenging task, which usually requires predictions of possible future events from…
Classification of Time-Series Data Using Boosted Decision Trees
Erfan Aasi, Cristian Ioan Vasile, Mahroo Bahreinian +1
Time-series data classification is central to the analysis and control of autonomous systems, such as robots and self-driving cars. Temporal logic-based learning algorithms have be…