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n-step-bootstrapping

Here are 9 public repositories matching this 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.

reinforcement-learning parallel-computing rainbow pytorch multi-environment dqn reinforcement-learning-algorithms parallel-processing iqn prioritized-experience-replay pytorch-implementation implicit-quantile-networks n-step-bootstrapping distributional-r noisy-layer munchausen

Updated Mar 4, 2023
Jupyter Notebook

makaveli10 / reinforcementLearning

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

Updated May 3, 2020
Jupyter Notebook

BY571 / Normalized-Advantage-Function-NAF-

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

reinforcement-learning q-learning dqn reinforcement-learning-algorithms continuous-control naf ddpg-algorithm prioritized-experience-replay normalized-advantage-functions q-learning-algorithm n-step-bootstrapping

Updated Feb 16, 2021
Jupyter Notebook

nslyubaykin / relax

ReLAx - Reinforcement Learning Applications Library

dqn ddpg sac trpo categorical-dqn ppo model-based-rl dyna-q reinforcementlearning td3 policy-gradients rainbow-dqn n-step-bootstrapping mbpo

Updated Feb 19, 2023
Python

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.

monte-carlo epsilon-greedy policy-gradient sarsa dynamic-programming policy-iteration model-based-rl n-armed-bandit-problem on-policy off-policy double-q-learning model-free-rl n-step-bootstrapping n-step-expected-sarsa n-step-tree-backup ucb-algorithm

Updated Oct 2, 2021
HTML

ZikangZhou / nim_rl

A reinforcement learning framework for the game of Nim.

reinforcement-learning q-learning dqn sarsa dynamic-programming policy-iteration value-iteration expected-sarsa monte-carlo-methods double-q-learning temporal-difference-learning double-sarsa double-expected-sarsa n-step-bootstrapping n-step-sarsa n-step-expected-sarsa off-policy-n-step-sarsa off-policy-n-step-expected-sarsa n-step-tree-backup

Updated Nov 21, 2020
C++

egrund / SARSA-gridworld

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

python reinforcement-learning monte-carlo sarsa gridworld n-step-bootstrapping n-step-sarsa

Updated Dec 9, 2022
Python

nslyubaykin / relax_rainbow_dqn_example

Example Rainbow DQN implementation with ReLAx

reinforcement-learning atari2600 dqn reinforcement-learning-algorithms double-dqn atari-games dueling-dqn categorical-dqn prioritized-experience-replay rainbow-dqn discrete-control noisy-dqn n-step-bootstrapping

Updated Aug 29, 2022
Jupyter Notebook

nslyubaykin / nstep_td3

Multistep TD3 for locomotion

reinforcement-learning policy-gradient reinforcement-learning-algorithms continuous-control td3 n-step-bootstrapping twin-delayed-policy-gradient

Updated Aug 29, 2022
Jupyter Notebook

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