Autonomous Learning in a Pseudo-Episodic Physical Environment
نویسندگان
چکیده
Abstract Forpractical considerations reinforcement learning has proven to be a difficult task outside of simulation when applied physical experiment. Here we derive an optional approach model free learning, achieved entirely online, through careful experimental design and algorithmic decision making. We scheme implement traditionally episodic algorithms for unstable 1-dimensional mechanical environment. The training is completely autonomous, requiring no human present throughout the process. show that pseudo-episodic technique allows additional updates with off-policy actor-critic experience replay methods. including these between periods traditional episodes can improve speed consistency learning. Furthermore, validate procedure in hardware. In environment, several algorithm variants learned rapidly, each surpassing baseline maximum reward. this research are use only information obtained by onboard sensor during training.
منابع مشابه
Autonomous Learning in a Simulated Environment
......................................................................................................................................3 Introduction..................................................................................................................................3 Changes from the Proposal...............................................................................................
متن کاملLearning Of Autonomous Agent In Virtual Environment
Presented topic is from area of development of artificial creatures and proposes new architecture of autonomous agent. The work builds on a research of the latest approaches to Artificial Life, realized by the Department of Cybernetics, CTU in Prague in the last twenty years. This architecture design combines knowledge from Artificial Intelligence (AI), Ethology, Artificial Life (ALife) and Int...
متن کاملAutonomous Collaborative Environment for Project Based Learning
The importance of integrating different disciplines of information science and technology is growing for the realization of an information system which works robustly in the real world. Such a system should be achieved by integrating different disciplines, since it is difficult to cover all areas in information science and technology by only one person or group. In order to support collaboratio...
متن کاملA Navigation System for Autonomous Robot Operating in Unknown and Dynamic Environment: Escaping Algorithm
In this study, the problem of navigation in dynamic and unknown environment is investigated and a navigation method based on force field approach is suggested. It is assumed that the robot performs navigation in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Intelligent and Robotic Systems
سال: 2022
ISSN: ['1573-0409', '0921-0296']
DOI: https://doi.org/10.1007/s10846-022-01577-5