Supervised models for an OpenAI driving game
ثبت نشده
چکیده
Using the Open AI framework, we will use supervised learning with support of linear models and deep neural nets, in order to try to achieve honorable score at playing a driving game without human intervention.
منابع مشابه
Economic Analysis of Late Payment Fines Remission of Driving in Iran, Game Theory Approach
One of the most important tools to reduce traffic violations and consequently the number of accidents in the country is to penalize the offenders. In Iran, double penalty is approved for delaying in payment of a fine, but it is possible that a significant number of offenders would not pay their fines in addition to late payment fines. Hence, in this study, the interactions between traffic polic...
متن کاملOn the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent
Because stochastic gradient descent (SGD) has shown promise optimizing neural networks with millions of parameters and few if any alternatives are known to exist, it has moved to the heart of leading approaches to reinforcement learning (RL). For that reason, the recent result from OpenAI showing that a particular kind of evolution strategy (ES) can rival the performance of SGD-based deep RL me...
متن کاملBeating Atari with Natural Language Guided Reinforcement Learning
We introduce the first deep reinforcement learning agent that learns to beat Atari games with the aid of natural language instructions. The agent uses a multimodal embedding between environment observations and natural language to self-monitor progress through a list of English instructions, granting itself additional reward for completing instructions in addition to increasing the game score. ...
متن کاملApplication of Stochastic Optimal Control, Game Theory and Information Fusion for Cyber Defense Modelling
The present paper addresses an effective cyber defense model by applying information fusion based game theoretical approaches. In the present paper, we are trying to improve previous models by applying stochastic optimal control and robust optimization techniques. Jump processes are applied to model different and complex situations in cyber games. Applying jump processes we propose some m...
متن کاملRanking Efficient Decision Making Units Using Cooperative Game Theory Based on SBM Input-Oriented Model and Nucleolus Value
In evaluating the efficiency of decision making units (DMUs) by Data Envelopment Analysis (DEA) models, may be more than one DMU has an efficiency score equal to one. Since ranking of efficient DMUs is essential for decision makers, therefore, methods and models for this purpose are presented. One of ranking methods of efficient DMUs is cooperative game theory. In this study, Lee and Lozano mod...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017