Deep Reinforcement Learning Hands-On A Practical and Easy-To-Follow Guide to RL from Q-Learning and DQNs to PPO and RLHF
de Maxim Lapan
8.34 / 10 46 notes
- Langue
- Anglais
- Parution
- 2024
- Éditeur
- Packt Publishing
- Pages
- 235
- ISBN
- 9781835882702
Thèmes
Édition originale
Deep Reinforcement Learning Hands-On Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and moreParu pour la première fois en 2018 Anglais Packt Publishing
Autres éditions (3)
- Deep Reinforcement Learning Hands-on Apply Modern RL Methods to Practical Problems of Chatbots, Robotics, Discrete Optimization, Web Automation, and More
- Deep Reinforcement Learning Hands-On
- Deep Reinforcement Learning Hands-On Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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