My Reading Lists of Deep Learning and Natural Language Processing
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Updated
Apr 30, 2022 - TeX
My Reading Lists of Deep Learning and Natural Language Processing
RL Notation and Pseudocode for Udacity's MLND program
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
Reinforcement Learning Cheat Sheet
Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Modeling agents with probabilistic programs
Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)
Simulation based Soft Continuum Robot Control via Reinforcement Learning
Reinforcement Learning at UCLA IPAM RIPS 2018
Use RL to balance the electrical power grid with electric vehicle fleets
Notes and solutions to exercises in Sutton and Barto's Reinforcement Learning textbook
Multi-agent reinforcement learning on trains, for Deep Learning class at UNIBO
🐲 Stanford CS234 : Reinforcement Learning
I have created a small book summarizing concepts from the Reinforcement Learning part of the ATML 2015 course at UCL (https://www.davidsilver.uk/teaching/)
Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex
Unified notation for Markov Decision Processes PO(MDP)s
presentation on AlphaZero for AI seminar (http://ktiml.mff.cuni.cz/~bartak/ui_seminar/)
A reinforcement learning agent playing as the turret, where its goal is to allow ten friendly units to enter the base, and loses if an enemy unit has entered the base or if two friendly units were shot.
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
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