- [D] Does "Bellman Optimality" necessarily describe "Global Optimality" https://en.wikipedia.org/wiki/Bellman_equation 3 comments machinelearning
- [D] What was so "Groundbreaking" about Bellman's Optimality? https://en.wikipedia.org/wiki/Bellman_equation 3 comments machinelearning
Linking pages
- To create a super-intelligent machine, start with an equation http://theconversation.com/to-create-a-super-intelligent-machine-start-with-an-equation-20756 84 comments
- Solving Path of Exile item crafting with Reinforcement Learning · Denny's Blog https://dennybritz.com/posts/poe-crafting/ 19 comments
- Learning to Imitate | SAIL Blog http://ai.stanford.edu/blog/learning-to-imitate/ 6 comments
- Machine Learning Glossary | Google Developers https://developers.google.com/machine-learning/glossary/ 3 comments
- Evolving Reinforcement Learning Algorithms – Google AI Blog https://ai.googleblog.com/2021/04/evolving-reinforcement-learning.html 3 comments
- The implicit dynamics of optimizing costs vs. rewards vs. preferences https://robotic.substack.com/p/costs-v-rewards-v-preferences 3 comments
- Stepping stones in AI - by DP - Re:ask https://reask.substack.com/p/stepping-stones-in-ai 1 comment
- Deep Reinforcement Learning: Playing a Racing Game - Byte Tank https://lopespm.github.io/machine_learning/2016/10/06/deep-reinforcement-learning-racing-game.html 1 comment
- GitHub - the5avage/Q-Learning: Q-Learning for temperature control https://github.com/the5avage/Q-Learning 1 comment
- Berkeley Deep RL Bootcamp http://planspace.org/20170830-berkeley_deep_rl_bootcamp/ 0 comments
- Setting ourselves up for exploitation: RL in the wild https://robotic.substack.com/p/rl-exploitation 0 comments
- SQL Query Optimization Meets Deep Reinforcement Learning - RISE Lab https://rise.cs.berkeley.edu/blog/sql-query-optimization-meets-deep-reinforcement-learning/ 0 comments
- Simple Reinforcement Learning with Tensorflow Part 0: Q-Learning with Tables and Neural Networks | by Arthur Juliani | Emergent // Future | Medium https://medium.com/emergent-future/simple-reinforcement-learning-with-tensorflow-part-0-q-learning-with-tables-and-neural-networks-d195264329d0#.u21z8m8p7 0 comments
- Playing with C++ Variadic Templates and Dynamic Programming | Murray's Blog http://www.murrayc.com/permalink/2016/02/28/playing-with-c-variadic-templates-and-dynamic-programming/ 0 comments
- Introduction to reinforcement learning by example · EFAVDB https://www.efavdb.com/intro-rl-toy-example 0 comments
- Dissecting Reinforcement Learning-Part.1 https://mpatacchiola.github.io/blog/2016/12/09/dissecting-reinforcement-learning.html 0 comments
- Q-Learning Tic-Tac-Toe, Briefly https://planspace.org/20191103-q_learning_tic_tac_toe_briefly/ 0 comments
- How to Understand ML Papers Quickly | Eric Jang https://evjang.com/2021/01/25/understanding-ml.html 0 comments
- GitHub - rasimandiran/EvoTrader: Evolutionary algorithm to make better trade decisions based on Bellman equation. (Experimental) https://github.com/rasimandiran/EvoTrader 0 comments
- Teaching machines to behave: Reinforcement Learning | by Diego Gomez Mosquera | Towards Data Science https://medium.com/ai-society/rl-4-all-1-3edac941fe37 0 comments
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