Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective.What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner
Algorithms for Reinforcement Learning
β Scribed by it-ebooks
- Publisher
- iBooker it-ebooks
- Year
- 2018
- Tongue
- English
- Leaves
- 98
- Series
- it-ebooks-2018
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<span>Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the lea
Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key Features β’ Learn, develop, and deploy advanced reinforcement learning algorithms to solve a variety of tasks β’ Understand and develop model-free and model-based algorithms for buil
With this book, you will understand the core concepts and techniques of reinforcement learning. You will take a hands-on approach with each RL algorithm and will develop your own self-learning algorithms and models. You will optimize the algorithms for better precision, use high-speed actions and lo