Reinforcement learning in practice: Opportunities and challenges
Y Li - arXiv preprint arXiv:2202.11296, 2022 - arxiv.org
This article is a gentle discussion about the field of reinforcement learning in practice, about
opportunities and challenges, touching a broad range of topics, with perspectives and …
opportunities and challenges, touching a broad range of topics, with perspectives and …
Reinforcement learning applications
Y Li - arXiv preprint arXiv:1908.06973, 2019 - arxiv.org
We start with a brief introduction to reinforcement learning (RL), about its successful stories,
basics, an example, issues, the ICML 2019 Workshop on RL for Real Life, how to use it …
basics, an example, issues, the ICML 2019 Workshop on RL for Real Life, how to use it …
Towards Deployable RL--What's Broken with RL Research and a Potential Fix
Reinforcement learning (RL) has demonstrated great potential, but is currently full of
overhyping and pipe dreams. We point to some difficulties with current research which we …
overhyping and pipe dreams. We point to some difficulties with current research which we …
From reinforcement learning to deep reinforcement learning: An overview
From Reinforcement Learning to Deep Reinforcement Learning: An Overview | SpringerLink
Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us …
Skip to main content Advertisement SpringerLink Account Menu Find a journal Publish with us …
Reinforcement learning: a friendly introduction
Reinforcement Learning (RL) is a branch of machine learning (ML) that is used to train
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …
artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial …
Reinforcement learning basics
A Nandy, M Biswas, A Nandy, M Biswas - Reinforcement Learning: With …, 2018 - Springer
Reinforcement Learning Basics | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
[图书][B] Hands-on reinforcement learning with Python: master reinforcement and deep reinforcement learning using OpenAI gym and tensorFlow
S Ravichandiran - 2018 - books.google.com
A hands-on guide enriched with examples to master deep reinforcement learning algorithms
with Python Key Features Your entry point into the world of artificial intelligence using the …
with Python Key Features Your entry point into the world of artificial intelligence using the …
Model-based or model-free, a review of approaches in reinforcement learning
Q Huang - 2020 International Conference on Computing and …, 2020 - ieeexplore.ieee.org
Reinforcement learning (RL) algorithms can successfully solve a wide range of problems
that we faced. Because of the Alpha Go against KeJie in 2017, the topic of RL has reached …
that we faced. Because of the Alpha Go against KeJie in 2017, the topic of RL has reached …
Reinforcement learning textbook
S Ivanov - arXiv preprint arXiv:2201.09746, 2022 - arxiv.org
This textbook covers principles behind main modern deep reinforcement learning algorithms
that achieved breakthrough results in many domains from game AI to robotics. All required …
that achieved breakthrough results in many domains from game AI to robotics. All required …
[图书][B] Deep reinforcement learning with python
O Gym, N Sanghi - 2021 - Springer
This book is about reinforcement learning and takes you from the basics through advanced
topics. Though this book assumes no prior knowledge of the field of reinforcement learning …
topics. Though this book assumes no prior knowledge of the field of reinforcement learning …