Hands-On Reinforcement Learning for Games
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Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow
- Get to grips with the different reinforcement and DRL algorithms for game development
- Learn how to implement components such as artificial agents, map and level generation, and audio generation
- Gain insights into cutting-edge RL research and understand how it is similar to artificial general research


