Functions of Learning Rate in Adaptive Reward Learning
نویسندگان
چکیده
منابع مشابه
Functions of Learning Rate in Adaptive Reward Learning
As a crucial cognitive function, learning applies prediction error (the discrepancy between the prediction from learning and the world state) to adjust predictions of the future. How much prediction error affects this adjustment also depends on the learning rate. Our understanding to the learning rate is still limited, in terms of (1) how it is modulated by other factors, and (2) the specific m...
متن کاملReward Functions for Accelerated Learning
This paper discusses why traditional reinforcement learning methods, and algorithms applied to those models, result in poor performance in situated domains characterized by multiple goals, noisy state, and inconsistent reinforcement. We propose a methodology for designing reinforcement functions that take advantage of implicit domain knowledge in order to accelerate learning in such domains. Th...
متن کاملActive Preference-Based Learning of Reward Functions
Our goal is to efficiently learn reward functions encoding a human’s preferences for how a dynamical system should act. There are two challenges with this. First, in many problems it is difficult for people to provide demonstrations of the desired system trajectory (like a high-DOF robot arm motion or an aggressive driving maneuver), or to even assign how much numerical reward an action or traj...
متن کاملthe effects of integrating cooperative learning into vocabulary learning of elementary school students
the purpose of the research is to examine if integrating cooperative learning into vocabulary learning helps to increase word recognition of students in an elementary school in iran. it tries to investigate whether cooperative learning approach enables students to improve their language learning. this research used stad (students team achievement division) as a cooperative model in this study. ...
15 صفحه اولEvolved Intrinsic Reward Functions for Reinforcement Learning
The reinforcement learning (RL) paradigm typically assumes a given reward function that is part of the problem being solved by the agent. However, in animals, all reward signals are generated internally, rather than being received directly from the environment. Furthermore, animals have evolved motivational systems that facilitate learning by rewarding activities that often bear a distal relati...
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: Frontiers in Human Neuroscience
سال: 2017
ISSN: 1662-5161
DOI: 10.3389/fnhum.2017.00592