e-greedy

There are 7 repositories under e-greedy topic.

  • n4i9kita/ExploratoryProject

    Analysis of various multi armed bandit algorithms over normal and heavy-tailed distributions.

    Language:Jupyter Notebook0100

  • OrestisMk/RF-Q_learning-taxi_driver--Lunanlander-Policy-gradient-

    This is a project of reinforcement learning which contains two different environments. The first environment is the taxi driver problem in 4x4 space with the simple Q-learning update rule. In this task, we compared the performance of the e-greedy policy and Boltzmann policy. As a second environment, we chose the LunarLander from the open gym. For the implementation of the project, the Policy gradient has been selected.

    0100

  • Stepan-Makarenko/Multi-armed-bandit-research

    Language:Jupyter Notebook0100

  • Anca-Mt/CartPole-DeepQLearning

    DQN agent with e-greedy / softmax policy, experience replay and target network.

    Language:Python

  • JoelJa835/MAB_Algorithms

    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.

    Language:Python20

  • Murtazali05/Multi-armed-bandit

    Multi Armed Bandits implementation using the Jester Dataset

    Language:Python20

  • tatiana-boura/MSc-in-AI-Demokritos-Reinforcement-Learning-Course

    Implementation of an Q-learning, ϵ-greedy agent that learns how to play the game with the other agents he is connected to.

    Language:Python00