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Reinforcement Learning in Gaming Survey by sikanderss625 is a document available to read on EtoBox.
What is Reinforcement Learning in Gaming Survey about?
This document surveys reinforcement learning (RL) algorithms and techniques applied in gaming, highlighting their effectiveness in various gaming domains such as board games and real-time strategy games. It discusses essential RL methodologies, including value-based, policy-based, and actor-critic approaches, and their adaptations to gaming challenges. The paper emphasizes the significance of RL in solving complex decision-making problems, benchmarking algorithms, and enhancing multi-agent learning and gene
- Author
- sikanderss625
- Language
- EN