Structure and Interpretation of Computer Programs
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Sep 12, 2020 - Python
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Here are 23 public repositories matching this topic...
👤 Multi-Armed Bandit Algorithms Library (MAB) 👮
arm algorithm reinforcement-learning simulation monte-carlo rank thompson-sampling reinforcement-learning-algorithms ucb reward multi-armed-bandit montecarlo-simulation contextual-bandits ranking-algorithm mab ranked-mab
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Sep 6, 2022 - Python
CS 61A: Structure and Interpretation of Computer Programs, Fall 2022, UC Berkeley
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Aug 15, 2023 - Python
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
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May 21, 2018 - Python
Author's implementation of the paper Correlated Age-of-Information Bandits.
thompson-sampling ucb multi-armed-bandit aoi age-of-information correlated-multi-armed-bandits correlated-arms aoi-regret
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Jun 19, 2021 - Python
Multi-armed bandit algorithm with tensorflow and 11 policies
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Dec 27, 2022 - Python
Thompson Sampling for Bandits using UCB policy
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Jul 29, 2017 - Python
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
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Mar 28, 2020 - Python
Foundations Of Intelligent Learning Agents (FILA) Assignments
reinforcement-learning monte-carlo linear-programming thompson-sampling ucb bootstrapping multi-armed-bandits bellman-equation temporal-differencing-learning howards-pi sarsa-learning kl-ucb windy-gridworld intelligent-learning-agents
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Nov 8, 2019 - Python
On Upper-Confidence Bound Policies for Non-Stationary Bandit Problems
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Oct 7, 2022 - Python
AI for the game "Connect Four". Available on PyPI.
monte-carlo artificial-intelligence connect-four puissance-4 tree-search ucb uct ai-bots monte-carlo-tree-search ai-players game-ai upper-confidence-bounds ai-opponents connect4 artificial-intelligence-algorithms puissance4 ai-agents connect-4 game-artificial-intelligence connect4-game
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Nov 14, 2024 - Python
We implemented a Monte Carlo Tree Search (MCTS) from scratch and we successfully applied it to Tic-Tac-Toe game.
reinforcement-learning graphics mcts ucb monte-carlo-tree-search tic-tac-toe-game upper-confidence-bound
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Jul 9, 2020 - Python
Repository for the course project done as part of CS-747 (Foundations of Intelligent & Learning Agents) course at IIT Bombay in Autumn 2022.
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Oct 14, 2022 - Python
Thompson is Python package to evaluate the multi-armed bandit problem. In addition to thompson, Upper Confidence Bound (UCB) algorithm, and randomized results are also implemented.
python machine-learning reinforcement-learning genetic-algorithm bayesian ucb multi-armed-bandit thompson thompson-algorithm
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Feb 21, 2023 - Python
Python package for Unity Cloud Build api
python api unity poetry unity3d python3 ucb typer python-package unity-tool unity-cloud-build ucb-api
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Sep 12, 2020 - Python
My programs during CS747 (Foundations of Intelligent and Learning Agents) Autumn 2021-22
linear-programming thompson-sampling epsilon-greedy mountain-car sarsa ucb markov-decision-processes multi-armed-bandit policy-iteration value-iteration tile-coding kl-ucb policy-control
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Apr 17, 2022 - Python
Multi Armed Bandits implementation using the Jester Dataset
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Apr 5, 2021 - Python
R.I.T project
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Jul 29, 2019 - Python
Implementation of Multi-Armed Bandit (MAB) algorithms UCB and Epsilon-Greedy. MAB is a class of problems in reinforcement learning where an agent learns to choose actions from a set of arms, each associated with an unknown reward distribution. UCB and Epsilon-Greedy are popular algorithms for solving MAB problems.
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Mar 26, 2023 - Python
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