Reinforcement Learning: An Introduction to the Technology
Report Includes:
- A general framework for deep Reinforcement Learning (RL) – also known as a semi-supervised learning model in machine learning paradigm
- Assessing the breadth and depth of RL applications in real-world domains, including increased data efficiency and stability as well as multi-tasking
- Understanding of the RL algorithm from different aspects; and persuade the decision makers and researchers to put more efforts on RL research
- Chapter 1 Reinforcement Learning
- Reasons for Doing This Report
- Intended Audience
- Introduction to Reinforcement Learning
- Artificial Intelligence and Machine Learning
- Four Main Types of Machine Learning
- Reinforcement Learning vs. Supervised Learning vs. Unsupervised Learning
- Approaches to Reinforcement Learning Algorithms
- Characteristics of Reinforcement Learning
- Market Dynamics
- Drivers
- Restraints
- Opportunities
- Challenges of Reinforcement Learning
- Slower Interaction with Real Systems as Compared to Faster Simulated Environments
- Higher Variance and Instability
- Absence of Reproducibility Due to Lack of Standardized Benchmarks, Frameworks and Evaluation Metrics
- Inappropriate Definition of Rewards, Actions and States
- Lack of Generalization
- Future Aspects of Reinforcement Learning
- Future Applications of Reinforcement Learning Across Verticals
- Resources Management in Computer Clusters
- Traffic Light Control
- Robotics
- Web System Configuration
- Chemistry
- Personalized Recommendations
- Bidding and Advertising
- Games
- Market Potential
- Companies Working on Reinforcement Learning
- BONSAI
- DEEPMIND TECHNOLOGIES
- MALUUBA INC.
- MATHWORKS
- Analyst Credentials
- Related BCC Research Reports
- Chapter 2 Bibliography
- List of Tables
- Table 1 : Reinforcement Learning vs. Supervised Learning vs. Unsupervised Learning
- Table 2 : Global Machine Learning Market, by Region, Through 2024
- List of Figures
- Figure 1 : Reinforcement Learning Process
- Figure 2 : Reinforcement Learning Workflow
- Figure 3 : Artificial Intelligence vs. Machine Learning vs. Reinforcement Learning
- Figure 4 : Machine Learning Applications
- Figure 5 : Types of Machine Learning
- Figure 6 : Reinforcement Learning Market Dynamics
- Figure 7 : Global Machine Learning Market, by Region, 2018-2024
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