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iamjagdeesh / Artificial-Intelligence-Pac-Man

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CSE 571 Artificial Intelligence

reinforcement-learning deep-reinforcement-learning q-learning artificial-intelligence neural-networks epsilon-greedy breadth-first-search alpha-beta-pruning depth-first-search minimax-algorithm policy-iteration value-iteration function-approximation expectimax particle-filter-tracking uniform-cost-search greedy-search a-star-search

Updated Jan 3, 2018
Python

starkblaze01 / Artificial-Intelligence-Codes

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Collection of Artificial Intelligence Algorithms implemented on various problems

reinforcement-learning genetic-algorithm epsilon-greedy gaussian-mixture-models confidence-intervals hidden-markov-model hopfield-network decision-tree-classifier hierarchical-clustering artificial-intelligence-algorithms k-sat travelling-salesman-problem k-means-clustering menace jealous-husband adaptive-smoothing

Updated Oct 23, 2020
Jupyter Notebook

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

haidarns / ml-based-lb-ryu

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Machine Learning based Load Balancing with RYU OpenFlow Controller

machine-learning load-balancer round-robin ryu epsilon-greedy sdn-controller flask-api iperf3 ip-hash d-itg

Updated Oct 16, 2018
Python

kulinshah98 / Multi-Armed-Bandit-Algorithms

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Python implementation of UCB, EXP3 and Epsilon greedy algorithms

epsilon-greedy multi-armed-bandits upper-confidence-bounds bandit-algorithms stochastic-bandit-algorithms adversarial-bandit-algorithms exp3-algorithm

Updated Oct 4, 2018
Python

antoine-hochart / bandit_algo_evaluation

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Offline evaluation of multi-armed bandit algorithms

thompson-sampling epsilon-greedy policy-evaluation multi-armed-bandit upper-confidence-bound

Updated Dec 1, 2020
Python

viswanath57 / Bandit-Algorithms

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algorithms epsilon-greedy multiarm-bandit softmax-algorithm ucb1

Updated Apr 5, 2021
Jupyter Notebook

KaleabTessera / Multi-Armed-Bandit

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Implementation of greedy, E-greedy and Upper Confidence Bound (UCB) algorithm on the Multi-Armed-Bandit problem.

reinforcement-learning greedy epsilon-greedy upper-confidence-bounds multi-armed-bandit

Updated Jul 30, 2019
Python

georgedeath / egreedy

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Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

optimization epsilon-greedy bayesian-optimization acquisition-functions

Updated May 20, 2021
C++

jtmichelson / ml_portfolio_risk_manager

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FTRL Approach to Financial Portfolio Risk Management

epsilon-greedy follow-the-regularized-leader online-machine-learning

Updated May 1, 2019
Python

lucadivit / Reinforcement_Learning_Maze_Solver

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This github contains a simple OpenAi Gym Maze Enviroment and (at now) a RL Algorithm to solve it.

machine-learning reinforcement-learning maze openai-gym q-learning policy epsilon-greedy boltzmann-exploration sarsa maze-generator maze-solver openai-gym-environment tabular-q-learning sarsa-learning rl-algorithm sarsa-algorithm epsilon-decay maze-enviroment

Updated Apr 24, 2020
Python

sumanvid97 / FlappyBird-AI

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RL algorithms for pygame version of Flappy Bird

reinforcement-learning q-learning epsilon-greedy deep-q-network

Updated May 23, 2018
Python

georgedeath / eshotgun

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ϵ-shotgun: ϵ-greedy Batch Bayesian Optimisation

optimization epsilon-greedy bayesian-optimization acquisition-functions

Updated Jan 2, 2021
C++

ChaitanyaC22 / Deep-RL-Project---Maximize-total-profits-earned-by-cab-driver

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The goal of this project is to build an RL-based algorithm that can help cab drivers maximize their profits by improving their decision-making process on the field. Taking long-term profit as the goal, a method is proposed based on reinforcement learning to optimize taxi driving strategies for profit maximization. This optimization problem is formulated as a Markov Decision Process i.e. MDP.

actions deep-reinforcement-learning prediction data-visualization convergence dqn epsilon-greedy states rl rewards hyperparameter-tuning model-evaluation model-building optimal-policy markov-decision-process epsilon-decay mdp-framework training-dqn-agent q-values-tracking minibatch-gradient-descent

Updated Jul 9, 2021
Jupyter Notebook

ShreeshaN / ReinforcementLearningTutorials

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This repo contains implementations of algorithms such a Q-learning, SARSA, TD, Policy gradient

q-learning pytorch dqn epsilon-greedy breakout sarsa policy-iteration value-iteration monte-carlo-methods deep-q-learning model-based-rl model-free-rl td-methods model-free-control

Updated Dec 8, 2019
Python

mykeels / multi-armed-bandit-problem

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An implementation of solvers for the multi-armed-bandit-problem in JavaScript.

thompson-sampling epsilon-greedy multi-armed-bandit ucb1

Updated Apr 25, 2019
JavaScript

lkwbr / grid-qlearn

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See a program learn the best actions in a grid-world to get to the target cell, and even run through the grid in real-time! This is a Q-Learning implementation for 2-D grid world using both epsilon-greedy and Boltzmann exploration policies.

python machine-learning reinforcement-learning grid-world epsilon-greedy boltzmann-exploration

Updated Feb 1, 2017
Python

elhamza90 / career-village-recommender-system

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3rd Place winning solution on Kaggle Data Science for Good Competition

nlp exploratory-data-analysis plotly data-visualization epsilon-greedy recommendation-engine recommender-system

Updated Apr 27, 2019
Jupyter Notebook

Nikolay-Lysenko / dsawl

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A set of tools for machine learning (for the current day, there are active learning utilities and implementations of some stacking-based techniques).

epsilon-greedy active-learning stacking categorical-features out-of-fold target-encoding

Updated Dec 31, 2018
Python

th1590 / reinforcement_learning

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Implementation reinforcement learning algorithms

deep-neural-networks reinforcement-learning deep-learning epsilon-greedy keras-tensorflow experience-replay dqn-tensorflow

Updated Aug 10, 2020
Python

swasun / BanditProblem

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A collection of implementations of the bandit problem.

thompson-sampling epsilon-greedy multi-armed-bandits bandit-algorithms linucb

Updated Feb 25, 2019
Jupyter Notebook

SanketAgrawal / ReinforcementLearning

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Chapter wise implementation & analysis of all the algorithms in RL : An Intoduction by Richard S. Sutton and Andrew G. Barto

reinforcement-learning artificial-intelligence epsilon-greedy python-3 ucb k-armed-bandit gradient-bandit optimistic-inital-values

Updated Jul 18, 2020
Jupyter Notebook

mokeddembillel / Lunar-Lander-Deep-Expected-Sarsa

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Using deep expected sarsa with tensorflow to solve the lunar lander problem with hyperparameter tuning and results analysis

reinforcement-learning epsilon-greedy boltzmann-exploration hyperparameter-tuning expected-sarsa lunar-lander tensorflow2 softmax-exploration

Updated Dec 14, 2020
Jupyter Notebook

kochlisGit / Reinforcement-Learning-Algorithms

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This project focuses on comparing different Reinforcement Learning Algorithms, including monte-carlo, q-learning, lambda q-learning epsilon-greedy variations, etc.