Essays about: "Deep-Q Learning"

Showing result 1 - 5 of 86 essays containing the words Deep-Q Learning.

1. 1. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

   University essay from Uppsala universitet/Signaler och system

   Author : Jonas Wedén; [2024]
   Keywords : Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

   Abstract : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. READ MORE

3. 2. Reinforcement Learning for Multi-Agent Strategy Synthesis Using Higher-Order Knowledge

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

   Author : Gustav Forsell; Shamoun Gergi; [2023]
   Keywords : Higher Order Knowledge; Imperfect Information; Reinforcement Learning; Deep Q- networks; Knowledge Representation; Pursuit Evasion Games;

   Abstract : Imagine for a moment we are living in the distant future where autonomous robots are patrollingthe streets as police officers. Two such robots are chasing a robber through the city streets. Fearingthe thief might listen in to any potential transmission, both robots remain radio silent and are thuslimited to a strictly visual pursuit. READ MORE

4. 3. Multi-Agent Deep Reinforcement Learning in Warehouse Environments

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

   Author : John Cao; Mikael Hammarling; [2023]
   Keywords : ;

   Abstract : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. READ MORE

5. 4. Federated Machine Learning for Resource Allocation in Multi-domain Fog Ecosystems

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Weilin Zhang; [2023]
   Keywords : Workload Allocation; Federated Learning; Deep Q-network; Fog networks; Federated Average Aggregation;

   Abstract : The proliferation of the Internet of Things (IoT) has increasingly demanded intimacy between cloud services and end-users. This has incentivised extending cloud resources to the edge in what is deemed fog computing. The latter is manifesting as an ecosystem of connected clouds, geo-dispersed and of diverse capacities. READ MORE

6. 5. Enhancing video game experience with playtime training and tailoring of virtual opponents : Using Deep Q-Network based Reinforcement Learning on a Multi-Agent Environment

   University essay from

   Author : Nishant Pillai; Roberto Giaconia; [2023]
   Keywords : ;

   Abstract : When interacting with fictional environments, the users' sense of immersion can be broken when characters act in mechanical and predictable ways. The vast majority of AIs for such fictional characters, that control their actions, are statically scripted, and expert players can learn strategies that take advantage of this to easily win challenges that were intended to be hard. READ MORE