Essays about: "proximal policy optimization"

Showing result 1 - 5 of 7 essays containing the words proximal policy optimization.

  1. 1. Investigation of Different Observation and Action Spaces for Reinforcement Learning on Reaching Tasks

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

    Author : Ching-An Wu; [2019]
    Keywords : ;

    Abstract : Deep reinforcement learning has been shown to be a potential alternative to a traditional controller for robotic manipulation tasks. Most of modern deep reinforcement learning methods that are used on robotic control mostly fall in the so-called model-free paradigm. READ MORE

  2. 2. Using Reinforcement Learning for Games with Nondeterministic State Transitions

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Max Fischer; [2019]
    Keywords : reinforcement learning; proximal policy optimization; PPO; machine learning; artificial intelligence; deep learning; neural network; candy crush; mobile game;

    Abstract : Given the recent advances within a subfield of machine learning called reinforcement learning, several papers have shown that it is possible to create self-learning digital agents, agents that take actions and pursue strategies in complex environments without any prior knowledge. This thesis investigates the performance of the state-of-the-art reinforcement learning algorithm proximal policy optimization, when trained on a task with nondeterministic state transitions. READ MORE

  3. 3. Intelligent Formation Control using Deep Reinforcement Learning

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Rasmus Johns Johns; [2018]
    Keywords : ;

    Abstract : In this thesis, deep reinforcement learning is applied to the problem of formation control to enhance performance. The current state-of-the-art formation control algorithms are often not adaptive and require a high degree of expertise to tune. READ MORE

  4. 4. Optimized Trade Execution with Reinforcement Learning

    University essay from Linköpings universitet/Institutionen för datavetenskap; Linköpings universitet/Institutionen för datavetenskap

    Author : Olle Dahlén; Axel Rantil; [2018]
    Keywords : Reinforcement Learning; Deep Learning; Trade Execution; Proximal Policy Optimization;

    Abstract : In this thesis, we study the problem of buying or selling a given volume of a financial asset within a given time horizon to the best possible price, a problem formally known as optimized trade execution. Our approach is an empirical one. We use historical data to simulate the process of placing artificial orders in a market. READ MORE

  5. 5. Comminution control using reinforcement learning : Comparing control strategies for size reduction in mineral processing

    University essay from Umeå universitet/Institutionen för fysik

    Author : Mattias Hallén; [2018]
    Keywords : Reinforcement Learning; Mineral processing; Process control; Comminution;

    Abstract : In mineral processing the grinding comminution process is an integral part since it is often the bottleneck of the concentrating process, thus small improvements may lead to large savings. By implementing a Reinforcement Learning controller this thesis aims to investigate if it is possible to control the grinding process more efficiently compared to traditional control strategies. READ MORE