n-step-bootstrapping

There are 9 repositories under n-step-bootstrapping topic.

  • BY571/IQN-and-Extensions

    PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

    Language:Jupyter Notebook784616

  • BY571/Normalized-Advantage-Function-NAF-

    PyTorch implementation of the Q-Learning Algorithm Normalized Advantage Function for continuous control problems + PER and N-step Method

    Language:Jupyter Notebook273113

  • makaveli10/reinforcementLearning

    Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.

    Language:Jupyter Notebook25304

  • nslyubaykin/relax

    ReLAx - Reinforcement Learning Applications Library

    Language:Python16211

  • narjesno/Reinforcement-Learning

    This repository contains all of the Reinforcement Learning-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.

    Language:HTML5100

  • ZikangZhou/nim_rl

    A reinforcement learning framework for the game of Nim.

    Language:C++4200

  • egrund/SARSA-gridworld

    This is an implementation of n-step SARSA and a gridworld to be solved by it.

    Language:Python2100

  • nslyubaykin/nstep_td3

    Multistep TD3 for locomotion

    Language:Jupyter Notebook0100

  • nslyubaykin/relax_rainbow_dqn_example

    Example Rainbow DQN implementation with ReLAx

    Language:Jupyter Notebook10