1. Applied reinforcement learning with Python with OpenAI Gym, Tensorflow and Keras /: with OpenAI Gym, Tensorflow and Keras. ([2019]) Other Names: Beysolow, Taweh Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Deep Reinforcement Learning : Frontiers of Artificial Intelligence /: Frontiers of Artificial Intelligence. (2019) Authors: Sewak, Mohit Record Type: Book Extent: 1 online resource, illustrations (some colour) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep reinforcement learning for wireless networks. ([2019]) Authors: Yu, F. Richard; He, Ying Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Deep reinforcement learning fundamentals, research and applications /: fundamentals, research and applications. (2020) Other Names: Dong, Hao; Ding, Zihan; Zhang, Shanghang Record Type: Book Extent: 1 online resource (526 p.) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Deep reinforcement learning hands-on : apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more /: apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more. (2020) Authors: Lapan, Maxim Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more. (2018) Authors: Lapan, Maxim Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Design of experiments for reinforcement learning. (2015) Authors: Gatti, Christopher Record Type: Book Extent: 1 online resource (196 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Foundations of reinforcement learning with applications in finance. (2022) Authors: Rao, Ashwin; Jelvis, Tikhon Record Type: Book Extent: 1 online resource, illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Hands-on deep learning for games : leverage the power of neural networks and reinforcement learning to build intelligent games /: leverage the power of neural networks and reinforcement learning to build intelligent games. (2019) Authors: Lanham, Michael Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Hands-on reinforcement learning with R : get up to speed with building self-learning systems using R 3.x /: get up to speed with building self-learning systems using R 3.x. (2019) Authors: Ciaburro, Giuseppe Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗