Agents are the software programs that make intelligent decisions and they are basically learners in RL. Agents take action by interacting with the environment and they receive rewards based on their actions, for example, Super Mario navigating in a video game.
- Title Page
- Copyright and Credits
- Dedication
- Packt Upsell
- Contributors
- Preface
- Introduction to Reinforcement Learning
- Getting Started with OpenAI and TensorFlow
- The Markov Decision Process and Dynamic Programming
- Gaming with Monte Carlo Methods
- Temporal Difference Learning
- Multi-Armed Bandit Problem
- Deep Learning Fundamentals
- Atari Games with Deep Q Network
- Playing Doom with a Deep Recurrent Q Network
- The Asynchronous Advantage Actor Critic Network
- Policy Gradients and Optimization
- Capstone Project – Car Racing Using DQN
- Recent Advancements and Next Steps
- Assessments
- Other Books You May Enjoy
Agent
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