n-step-bootstrapping

There are 0 repository 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.
iqn distributional-r rainbow reinforcement-learning-algorithms reinforcement-learning dqn pytorch-implementation implicit-quantile-networks noisy-layer n-step-bootstrapping prioritized-experience-replay munchausen pytorch parallel-computing parallel-processing multi-environment
Language:Jupyter Notebook 71
makaveli10 / reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
reinforcement-learning sutton-gambler sutton-gridworld monte-carlo-methods td-learning machine-learning david-silver-course model-free-rl dynamic-programming random-walk sarsa n-step-sarsa n-step-bootstrapping q-learning-vs-sarsa q-learning experience-replay dqn dqn-pytorch double-dqn prioritized-experience-replay
Language:Jupyter Notebook 25
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 reinforcement-learning-algorithms q-learning q-learning-algorithm continuous-control ddpg-algorithm dqn naf normalized-advantage-functions prioritized-experience-replay n-step-bootstrapping
Language:Jupyter Notebook 24
nslyubaykin / relax
ReLAx - Reinforcement Learning Applications Library
ppo policy-gradients reinforcementlearning dqn trpo categorical-dqn ddpg td3 sac dyna-q mbpo model-based-rl n-step-bootstrapping rainbow-dqn
Language:Python 16
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.
dynamic-programming off-policy on-policy model-free-rl model-based-rl monte-carlo sarsa n-step-bootstrapping n-step-expected-sarsa n-step-tree-backup policy-iteration ucb-algorithm double-q-learning n-armed-bandit-problem policy-gradient epsilon-greedy
Language:HTML 5
ZikangZhou / nim_rl
A reinforcement learning framework for the game of Nim.
reinforcement-learning dynamic-programming policy-iteration value-iteration monte-carlo-methods temporal-difference-learning q-learning sarsa expected-sarsa double-q-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 dqn
Language:C++ 4
egrund / SARSA-gridworld
This is an implementation of n-step SARSA and a gridworld to be solved by it.
gridworld reinforcement-learning sarsa python monte-carlo n-step-bootstrapping n-step-sarsa
Language:Python 2
nslyubaykin / nstep_td3
Multistep TD3 for locomotion
continuous-control n-step-bootstrapping policy-gradient reinforcement-learning reinforcement-learning-algorithms td3 twin-delayed-policy-gradient
Language:Jupyter Notebook 0
nslyubaykin / relax_rainbow_dqn_example
Example Rainbow DQN implementation with ReLAx
atari-games atari2600 categorical-dqn discrete-control double-dqn dqn dueling-dqn n-step-bootstrapping noisy-dqn prioritized-experience-replay rainbow-dqn reinforcement-learning reinforcement-learning-algorithms
Language:Jupyter Notebook