Practical deep reinforcement learning approach for stock trading
… We explore the potential of deep reinforcement learning to … as the training and trading
market environment. We train a … deep reinforcement learning approach to solve this problem. …
market environment. We train a … deep reinforcement learning approach to solve this problem. …
Deep reinforcement learning: An overview
Y Li - arXiv preprint arXiv:1701.07274, 2017 - arxiv.org
… achievements of deep reinforcement learn… machine learning, deep learning and reinforcement
learning. Next we discuss core RL elements, including value function, in particular, Deep …
learning. Next we discuss core RL elements, including value function, in particular, Deep …
[图书][B] Foundations of deep reinforcement learning: theory and practice in Python
L Graesser, WL Keng - 2019 - books.google.com
… deep reinforcement learning covering the mathematical concepts behind popular algorithms
as well as their practical … anyone looking to apply deep reinforcement learning in practice.” …
as well as their practical … anyone looking to apply deep reinforcement learning in practice.” …
Practical deep reinforcement learning approach for stock trading
… In this paper, a deep reinforcement learning algorithm, namely Deep Deterministic Policy
Gradient (DDPG), to find the best trading strategy in the complex and dynamic stock market …
Gradient (DDPG), to find the best trading strategy in the complex and dynamic stock market …
Comprehensive review of deep reinforcement learning methods and applications in economics
… Training approach for ameliorate the training efficiency and the mean-return, where the new
training approach … [114] employed a deterministic deep reinforcement learning approach …
training approach … [114] employed a deterministic deep reinforcement learning approach …
The Implementation of Deep Reinforcement Learning in E‐Learning and Distance Learning: Remote Practical Work
… The reason that we focus on deep reinforcement learning is its high efficiency with which
we can solve some problems that are sometimes difficult. This technology includes all the …
we can solve some problems that are sometimes difficult. This technology includes all the …
[图书][B] Deep reinforcement learning in action
A Zai, B Brown - 2020 - books.google.com
… We are confident that this book will teach you the concepts of deep reinforcement learning
and not just how to narrowly code things in Python. If Python were to somehow disappear …
and not just how to narrowly code things in Python. If Python were to somehow disappear …
A practical approach to insertion with variable socket position using deep reinforcement learning
… We believe learning methods are capable of advancing this frontier, and have designed
two tasks that emphasize multi-modal control in different ways: 1) A narrow-clearance (0.5mm) …
two tasks that emphasize multi-modal control in different ways: 1) A narrow-clearance (0.5mm) …
Deep reinforcement learning
SE Li - Reinforcement learning for sequential decision and …, 2023 - Springer
… combination of artificial neural network (ANN) and reinforcement learning (RL), has achieved
great success in various kinds of complex tasks, namely, Chinese Go game, Atari games, …
great success in various kinds of complex tasks, namely, Chinese Go game, Atari games, …
An introduction to deep reinforcement learning
… In Chapter 2, we introduce the field of machine learning and the deep learning approach. …
explain briefly where deep learning is situated in the broader field of machine learning. We …
explain briefly where deep learning is situated in the broader field of machine learning. We …
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