prioritized-experience-replay topic
turtlebot3_ddpg_collision_avoidance
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
rl-zoo
PyTorch implementation of various reinforcement learning algorithms
Deep-Reinforcement-Learning-Notebooks
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algo...
RL-Unity
Implementation of Deep Reinforcement Learning algorithms in the Unity game engine.
RLCodebase
RLCodebase: PyTorch Codebase For Deep Reinforcement Learning Algorithms
Codes-for-RL-PER
A novel DDPG method with prioritized experience replay (IEEE SMC 2017)
FQF-and-Extensions
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueli...
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 p...
reinforcementLearning
Reinforcement Learning - Implementation of Exercises, algorithms from the book Sutton Barto and David silver's RL course in Python, OpenAI Gym.
N-step-Dueling-DDQN-PER-Pacman
Using N-step dueling DDQN with PER for playing Pacman game