#TWIMLfest: Office Hours - Reinforcement Learning

In the Office Hours series, we invite experts and practitioners in various topic areas for AMA (ask-me-anything) style sessions to answer community member questions. The intent is to answer technical questions and/or help participants advance their specific projects and interests. This week’s topic will be centered on Reinforcement Learning! Resources: Show notebooks in Drive - https://colab.research.google.com/github/psc-g/intro_to_rl/blob/master/Introduction_to_reinforcement_learning.ipynb Streamlit - https://www.streamlit.io/ #302 - Deep Reinforcement Learning for Logistics at Instadeep w/ Karim Beguir - https://twimlai.com/twiml-talk-302-deep-reinforcement-learning-for-logistics-at-instadeep-with-karim-beguir/ Project Bonsai - https://azure.microsoft.com/en-us/services/project-bonsai/#features David Silver lectures - https://www.davidsilver.uk/teaching/ Reinforcement Learning: An Introduction by Richard Sutton https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf Theoretical Computational NeuroScience by Peter Dayan - http://www.gatsby.ucl.ac.uk/~lmate/biblio/dayanabbott.pdf Agence - https://www.agence.ai/ Emma Brunskill - https://cs.stanford.edu/people/ebrun/ Unity Machine Learning Agents - https://unity.com/products/machine-learning-agents Unity Machine Learning Agents GitHub - https://github.com/Unity-Technologies/ml-agents Invariant Causal Prediction for Block MDPs - https://arxiv.org/abs/2003.06016 Causal Modeling in Machine Learning by Robert O. Ness - https://github.com/robertness/causalML/blob/master/syllabus_NEU.md Doubly Robust Off-policy Value Evaluation for Reinforcement Learning - https://arxiv.org/abs/1511.03722 Gridworld Playground - http://gridworld-playground.glitch.me/ Join the TWIML Slack - https://twimlai.com/community Sim2Real - http://www.andrew.cmu.edu/course/10-703/slides/Lecture_sim2realmaxentRL.pdf Duckietown - https://www.duckietown.org/ AI Research at JP Morgan Chase with Manuela Veloso - #371