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akshaykhadse / reinforcement-learning

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Implementations of basic concepts dealt under the Reinforcement Learning umbrella. This project is collection of assignments in CS747: Foundations of Intelligent and Learning Agents (Autumn 2017) at IIT Bombay

reinforcement-learning linear-programming thompson-sampling epsilon-greedy ucb policy-evaluation mdps multi-armed-bandits policy-iteration randomised-algorithms reinforcement-learning-excercises kl-divergence markovian-epidemic-processes reinforcement-learning-analysis multiarm-bandit ucb1 howards-pi batch-switching randomized-policy-iteration
  • Updated May 21, 2018
  • Python

rudrajit1729 / Machine-Learning-Codes-And-Templates

Star 15

Codes and templates for ML algorithms created, modified and optimized in Python and R.

feature-selection datascience feature-extraction thompson-sampling dimensionality-reduction ucb ann regression-models nlp-machine-learning kmeans-clustering apriori-algorithm hierarchical-clustering classification-algorithims parameter-tuning regression-algorithms xgboost-model kfold-cross-validation cnn-classification eclat-algorithm
  • Updated Mar 28, 2020
  • Python

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