epsilon-greedy

Here are 77 public repositories matching this topic...

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

Updated Jun 16, 2023
Python

wrt95 / F29AI-CW2-TicTacToe_in_Java

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java q-learning artificial-intelligence epsilon-greedy policy-iteration value-iteration

Updated Jan 4, 2021

saminheydarian / Interactive_Learning_Course_2021

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Interactive Learning Course | Home Works & Quiz | Fall 2021 | Prof. Majid Nili

q-learning epsilon-greedy sarsa value-iteration tree-backup n-armed-bandit-problem regret-minimization multi-agent-multi-armed-bandits 2-step-tree-backup model-based-learning off-policy-monte-carlo social-bandit-learning reinforcement-comparison model-based-model-free-mixture

Updated Feb 24, 2022
Jupyter Notebook

SXV357 / Inspirit-AI-Deep-Dive-Designing-DL-Systems-FinalProject-RL-for-Autonomous-Vehicles

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This project uses Reinforcement Learning to teach an agent to drive by itself and learn from its observations so that it can maximize the reward(180+ lines)

reinforcement-learning q-learning epsilon-greedy loss-functions deep-q-learning exploration-exploitation

Updated Nov 25, 2022
Jupyter Notebook

senadkurtisi / Q-learning-block-world

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Q-learning and Q-value iteration algorithms for the Block-World environment.

reinforcement-learning q-learning epsilon-greedy q-value block-world q-value-iteration

Updated Jan 31, 2021
Jupyter Notebook

ArianQazvini / Ai-Reinforcement_Learning

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reinforcement-learning q-learning epsilon-greedy value-iteration temporal-differencing-learning

Updated Feb 7, 2023
Python

Problem Statement Perform clustering (Hierarchical,K means clustering and DBSCAN) for the airlines data to obtain optimum number of clusters. Content This data set contains statistics, in arrests per 100,000 residents for assault, murder, and rape in each of the 50 US states in 1973. Also given is the percent of the population living in urban areas

data-science epsilon-greedy clustering-algorithm kmeans-clustering dbscan-clustering heirarchical-clustering

Updated Apr 20, 2024
Jupyter Notebook

hritikb / Reinforcement-Learning-Algorithms

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reinforcement-learning q-learning grid-world epsilon-greedy sarsa dynamic-programming multi-armed-bandits policy-iteration value-iteration monte-carlo-methods temporal-differencing-learning upper-confidence-bound gradient-bandit optimistic-inital-values greedy-policy

Updated Jun 29, 2023
Jupyter Notebook

Ali-Noroozbeigy / AI-Berkeley-Pacman-Part-3

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this is the third pacman project for course AI of UC Berkeley done as the third project of course AI basics and applications of AUT

reinforcement-learning q-learning epsilon-greedy markov-decision-processes value-iteration

Updated Jun 25, 2022
Python

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 Aug 27, 2023
Python

lucadivit / Adversarial_RL_TicTacToe

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reinforcement-learning qlearning tic-tac-toe q-learning epsilon-greedy boltzmann-exploration reinforcement-learning-algorithms sarsa tictactoe rewards reward tictactoe-game adversarial-machine-learning sarsa-learning q-learning-vs-sarsa adversarial-reinforcement-learning

Updated Oct 9, 2019
Python

Georgemouts / Google-Research-Football-RL-DQN

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Creating a AI-agent that can play football in the google research football environment.Thesis for CSE-UOI

machine-learning reinforcement-learning deep-learning q-learning epsilon-greedy

Updated Oct 9, 2022
Jupyter Notebook

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

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

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

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

Updated Jul 2, 2021
Python

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.