Wydawca: M-t

Deep Reinforcement Learning Hands-On. A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF - Third Edition

Maxim Lapan

Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition

Maxim Lapan

Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

Oleg Vasilev, Maxim Lapan, Martijn van Otterlo,...

Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition

Sudharsan Ravichandiran

Deep Web bez tajemnic. Kurs video. Pozyskiwanie ukrytych danych

Anna Pieczka-Węgorkiewicz

DeepSeek in Practice. From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM

Andy Peng, Alex Strick van Linschoten, Duarte...

Deesis. Idea wstawiennictwa Bogarodzicy i św. Jana Chrzciciela w kulturze średniowiecznej

Roman Mazurkiewicz

Defending APIs. Uncover advanced defense techniques to craft secure application programming interfaces

Colin Domoney, Chris Wysopal, Isabelle Mauny