linear-function-approximation

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rldotai / rl-algorithms

Reinforcement learning algorithms

algorithm reinforcement-learning reinforcement-learning-algorithms function-approximation rl-algorithms linear-function-approximation

Updated Feb 27, 2019
Python

kkm24132 / ReinforcementLearning

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Focuses on Reinforcement Learning related concepts, use cases, and learning approaches

reinforcement-learning q-learning policy-gradient sarsa multi-armed-bandits montecarlo linear-function-approximation exploration-exploitation temporal-difference-algorithms

Updated Jun 5, 2024
Jupyter Notebook

szhangml / Average-Reward-TD-Q-Learning

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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."

reinforcement-learning q-learning td-learning linear-function-approximation average-reward

Updated Nov 10, 2021
Python

weiweitoo / easy21-rl

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easy21 solution for Reinforcement Learning Course by David Silver in UCL

python reinforcement-learning monte-carlo sarsa linear-function-approximation

Updated May 1, 2019
Python

gt-coar / Q-Learning-LFA

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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.

q-learning convergence linear-function-approximation convergence-rate

Updated Nov 9, 2021
Python

zyxsjdy / Solve-the-Gridworld-Problem-with-Reinforcement-Learning-Cont

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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

reinforcement-learning q-learning sarsa gridworld bellman-equation linear-function-approximation gradient-monte-carlo affine-function-approximation semi-gradient-td0