- What does the Policy Gradient Theorem give us that Score Function Gradient Estimator does not? http://incompleteideas.net/book/bookdraft2017nov5.pdf 7 comments reinforcementlearning
Linking pages
- A (Long) Peek into Reinforcement Learning | Lil'Log https://lilianweng.github.io/posts/2018-02-19-rl-overview/ 8 comments
- Applications of Reinforcement Learning in Real World | by Gary Chan | Towards Data Science https://towardsdatascience.com/applications-of-reinforcement-learning-in-real-world-1a94955bcd12 0 comments
- Reinforcement Learning: Playing Doom with PyTorch https://brandonlmorris.com/2018/10/09/dql-vizdoom/ 0 comments
- GitHub - omerbsezer/Reinforcement_learning_tutorial_with_demo: Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc.. https://github.com/omerbsezer/Reinforcement_learning_tutorial_with_demo 0 comments
- GitHub - R-Sweke/DeepQ-Decoding: Decoders for fault tolerant quantum computation via deepQ reinforcement learning https://github.com/R-Sweke/DeepQ-Decoding 0 comments
- Understanding Q-Learning, the Cliff Walking problem | by Lucas Vazquez | Medium https://medium.com/init27-labs/understanding-q-learning-the-cliff-walking-problem-80198921abbc 0 comments
- AI Reading List. For newcomers to the field of… | by Vishal Maini | Machine Learning for Humans | Medium https://medium.com/@v_maini/ai-reading-list-c4753afd97a 0 comments
- Tic-Tac-Toe and Connect-4 using Mini-Max | by Branko Blagojevic | ml-everything | Medium https://medium.com/ml-everything/tic-tac-toe-and-connect-4-using-mini-max-deb25544f3b7 0 comments
- Scalable Deep Symbolic Reinforcement Learning with Imandra: Part I | by Nicola Mometto | Imandra | Medium https://medium.com/imandra/scalable-deep-symbolic-reinforcement-learning-with-imandra-part-i-346ebb67433a 0 comments
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