Essays about: "deep q-learning"

Showing result 21 - 25 of 55 essays containing the words deep q-learning.

1. 21. Generation and Detection of Adversarial Attacks for Reinforcement Learning Policies

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Axel Drotz; Markus Hector; [2021]
   Keywords : Deep Reinforcement Learning; Adversarial Attacks; Adversarial Attack Detection; Fast Gradient Sign Method; Deep Deterministic Policy Gradient; Deep Q-Learning; Likelihood Ratio Test; CUSUM;

   Abstract : In this project we investigate the susceptibility ofreinforcement rearning (RL) algorithms to adversarial attacks.Adversarial attacks have been proven to be very effective atreducing performance of deep learning classifiers, and recently,have also been shown to reduce performance of RL agents. READ MORE

3. 22. Control of an Inverted Pendulum Using Reinforcement Learning Methods

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Joel Kärn; [2021]
   Keywords : Reinforcement Learning; Q-learning; DQN; CartPole; Inverted Pendulum; OpenAI;

   Abstract : In this paper the two reinforcement learning algorithmsQ-learning and deep Q-learning (DQN) are used tobalance an inverted pendulum. In order to compare the two, bothalgorithms are optimized to some extent, by evaluating differentvalues for some parameters of the algorithms. READ MORE

4. 23. Deep Reinforcement Learning for the Popular Game tag

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : August Söderlund; Gustav von Knorring; [2021]
   Keywords : Reinforcement Learning; Neural Networks; Qlearning; Deep Q-learning; Double Deep Q-learning; Dual-agent Training.;

   Abstract : Reinforcement learning can be compared to howhumans learn – by interaction, which is the fundamental conceptof this project. This paper aims to compare three differentlearning methods by creating two adversarial reinforcementlearning models and simulate them in the game tag. READ MORE

5. 24. A Comparison Between Deep Q-learning and Deep Deterministic Policy Gradient for an Autonomous Drone in a Simulated Environment

   University essay from Mälardalens högskola/Akademin för innovation, design och teknik

   Author : Dennis Tagesson; [2021]
   Keywords : ;

   Abstract : This thesis investigates how the performance between Deep Q-Network (DQN) with a continuous and discrete state- and action space, respectively, and Deep Deterministic Policy Gradient (DDPG) with a continuous state- and action space compare when trained in an environment with a continuous state- and action space. The environment was a simulation where the task for the algorithms was to control a drone from the start position to the location of the goal. READ MORE

6. 25. AI-driven admission control : with Deep Reinforcement Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lingling Ai; [2021]
   Keywords : Admission Control; Reinforcement Learning; Configurable Observability; Network Slicing; Deep Q-Learning; Antagningskontroll; förstärkningsinlärning; konfigurerbar observerbarhet; nätverksdelning; Deep Q-Learning;

   Abstract : 5G is expected to provide a high-performance and highly efficient network to prominent industry verticals with ubiquitous access to a wide range of services with orders of magnitude of improvement over 4G. Network slicing, which allocates network resources according to users’ specific requirements, is a key feature to fulfil the diversity of requirements in 5G network. READ MORE