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epsilon-greedy

Here are 102 public repositories matching this topic...

iamjagdeesh / Artificial-Intelligence-Pac-Man

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

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Python

Heewon-Hailey / multi-armed-bandits-for-recommendation-systems

implement basic and contextual MAB algorithms for recommendation system

python numpy scikit-learn epsilon-greedy recommendation-system matplotlib upper-confidence-bounds contextual-bandits multiarmed-bandits

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Jupyter Notebook

starkblaze01 / Artificial-Intelligence-Codes

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

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Jupyter Notebook

kulinshah98 / Multi-Armed-Bandit-Algorithms

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

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Python

antoine-hochart / bandit_algo_evaluation

Offline evaluation of multi-armed bandit algorithms

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

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Python

haidarns / ml-based-lb-ryu

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

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Python

akshaykhadse / reinforcement-learning

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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Python

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

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 fo…

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

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Jupyter Notebook

singhsidhukuldeep / contextual-bandits

A comprehensive Python library implementing a variety of contextual and non-contextual multi-armed bandit algorithms—including LinUCB, Epsilon-Greedy, Upper Confidence Bound (UCB), Thompson Sampling, KernelUCB, NeuralLinearBandit, and DecisionTreeBandit—designed for reinforcement learning applications

python machine-learning reinforcement-learning algorithms epsilon-greedy multi-armed-bandit contextual-bandits bandit-algorithms linucb

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Python

ValentinaZangirolami / MADRQN

Multi-Agent Deep Recurrent Q-Learning with Bayesian epsilon-greedy on AirSim simulator

reinforcement-learning deep-learning deep-reinforcement-learning epsilon-greedy self-driving-car multiagent-systems airsim multiagent-reinforcement-learning deep-recurrent-q-network drqn airsim-simulator

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Python

georgedeath / egreedy

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

optimization epsilon-greedy bayesian-optimization acquisition-functions

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C++

ValentinaZangirolami / DRL

Deep Recurrent Q-Network with different exploration strategies for self-driving cars (using AirSim)

reinforcement-learning deep-learning tensorflow deep-reinforcement-learning epsilon-greedy self-driving-car softmax airsim deep-recurrent-q-network drqn exploration-strategy softmax-exploration max-boltzmann-exploration

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Python

Amshra267 / Thompson-Greedy-Comparison-for-MultiArmed-Bandits

Repository Containing Comparison of two methods for dealing with Exploration-Exploitation dilemma for MultiArmed Bandits

thompson-sampling epsilon-greedy exploration-exploitation optimistic-bayesian-sampling

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Python

viswanath57 / Bandit-Algorithms

algorithms epsilon-greedy multiarm-bandit softmax-algorithm ucb1

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Jupyter Notebook

DimitrisPatiniotis / epsilon-greedy-Q-learning

Epsilon-Greedy Q-Learning in a Multi-agent Environment

reinforcement-learning q-learning epsilon-greedy cooperative-environments

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Python

RaphaelDssn / Multi-Robot-Path-Planning-for-Coverage-in-Cluttered-and-Known-Environment

Multi robot path planning for coverage in cluttered and known environment. Extensions of A* DARP and epsilon*-based greedy coverage graph search.

astar epsilon-greedy multi-agent-systems multi-robot coverage-path-planning

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Python

KaleabTessera / Multi-Armed-Bandit

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

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Python

thetawom / mabby

A multi-armed bandit (MAB) simulation library in Python

python reinforcement-learning simulation probability artificial-intelligence thompson-sampling epsilon-greedy multi-armed-bandits agent-based-simulation

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Python

mike-gimelfarb / bayesian-epsilon-greedy

Public repository for a paper in UAI 2019 describing adaptive epsilon-greedy exploration using Bayesian ensembles for deep reinforcement learning.

deep-reinforcement-learning epsilon-greedy bayesian-inference ensemble-model

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Python

1391819 / MA-seek

A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.

tensorflow epsilon-greedy pomdp drqn experience-replay marl

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Python

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