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."
Attempt at the UCL 2015 David Silver Reinforcement Learning Course Assignment
easy21 solution for Reinforcement Learning Course by David Silver in UCL
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.
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
Some Reinforcement Learning in Python. Especially how to get the feature for linear function approximation.
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