An environment is said to be deterministic when we know the outcome based on the current state. For instance, in a chess game, we know the exact outcome of moving any player.
- 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
Deterministic environment
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