Reinforcement Learning Algorithms: Analysis and Applications
β Scribed by Boris Belousov; Hany Abdulsamad; Pascal Klink; Simone Parisi; Jan Peters
- Publisher
- Springer International Publishing
- Year
- 2021
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
<p>The book is dedicated to the use of genetic algorithms in theoretical economic research. Genetic algorithms offer the chance of overcoming the limitations traditional mathematical tractability puts on economic research and thus open new horzions for economic theory. The book reveals close relatio
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
<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