GitHub - amifunny/RL-Notebooks: This is a repository for Coursera Reinforcement Learning Course Notebook ,, these consist of my solutions. Feel Free to take a look , if you are stuck in Course and suggest corrections, if you find any mistake. Also Useful if you are looking for an implementation of RL-Algorithms. ** NOTE THESE NOTEBOOKS DON'T WORK AS THEY DO NOT CONTAIN UTILITY FILES WHICH ARE AVAILABLE ONLY ON COURSERA.

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This is a repository for Coursera Reinforcement Learning Course Notebook ,, these consist of my solutions. Feel Free to take a look , if you are stuck in Course and suggest corrections, if you find any mistake. Also Useful if you are looking for an implementation of RL-Algorithms. ** NOTE THESE NOTEBOOKS DON'T WORK AS THEY DO NOT CONTAIN UTILITY…

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
Actor-Critic-with-tile-coding.ipynb		Actor-Critic-with-tile-coding.ipynb
Dyna_Q_and_Dyna_Qplus.ipynb		Dyna_Q_and_Dyna_Qplus.ipynb
Func-Approx-for-Control.ipynb		Func-Approx-for-Control.ipynb
Q_Learning_&_Expected_Sarsa.ipynb		Q_Learning_&_Expected_Sarsa.ipynb
Semi-gradient-with-NN.ipynb		Semi-gradient-with-NN.ipynb
Semi-gradientwith-td0.ipynb		Semi-gradientwith-td0.ipynb
TD_zero.ipynb		TD_zero.ipynb