11
Introduction to TensorFlow
Autonomous and Adaptive Systems
Preface
1
Intelligent Agents and Machines
2
Introduction to Reinforcement Learning
3
Multi-armed Bandits
4
Temporal Difference Methods
5
Deep Learning and Neural Architectures
6
Value Approximation Methods
7
Monte Carlo Methods
8
Policy Gradient Methods
9
Multi-agent Systems
10
Introduction to Gym
11
Introduction to TensorFlow
12
Advanced Tensorflow for Reinforcement Learning
Papers Discussions
References
11
Introduction to TensorFlow
10
Introduction to Gym
12
Advanced Tensorflow for Reinforcement Learning