Reinforcement learning algorithms
Focuses on Reinforcement Learning related concepts, use cases, and learning approaches
Code for the numerical experiments in Zhang, Sheng, Zhe Zhang, and Siva Theja Maguluri. "Finite Sample Analysis of Average-Reward TD Learning and Q-Learning."
Chen, Z., Zhang, S., Doan, T. T., Clarke, J. P., & Maguluri, S. T. (2019). Finite-sample analysis of nonlinear stochastic approximation with applications in reinforcement learning.
easy21 solution for Reinforcement Learning Course by David Silver in UCL
Attempt at the UCL 2015 David Silver Reinforcement Learning Course Assignment
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
Based on the book --- Reinforcement Learning: An Introduction (2nd ed, 2018) by Sutton and Barto. For the Reinforcement Learning course Assignment 3 (see Gridworld Problem 2.pdf) at Memorial University of Newfoundland, Jul. 18, 2024
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