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What is Implementing Rainbow & SAC in MLpack about?

Nishant Kumar from IIT (BHU) proposes to enhance the MLpack Reinforcement Learning codebase by implementing the Rainbow and Soft Actor-Critic algorithms, which are state-of-the-art in the field. The project aims to improve existing QLearning implementations, create detailed documentation, and establish testing environments for these algorithms. The implementation will involve creating separate classes for each algorithm and their components, ensuring maximum code reuse and efficiency in testing across vario

Author

sapna021sen

Language

EN