Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
-
Updated
Jun 7, 2020 - Python
Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
Reinforcement learning project. The objective is to learn an asymmetric distance function over states that will allow goal-pursuing.
An intelligent PACMAN agent built using Reinforcement learning.
Prioritized Experience Replay for Reinforcement Learning
Implementations of deep reinforcement learning algorithms.
Implementation of RL Algorithms with PyTorch.
A Reinforcement Learning library for solving custom environments
Project 2 of Udacity's Deep Reinforcement Learning NanoDegree
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
A RL agent that learns to play doom's deadly corridor based on DDQN and PER.
A merge between OpenAI Baselines and Stable Baselines with increased focus on HER+DDPG and ease of use. Simply run the bash script to get started!
gym environnement to simulate the energetic behaviour of a real estate
PGuNN - Playing Games using Neural Networks
Reinforcement learning of point to point reaching
implementation of reinforcement learning algorithm that is easy to read and understand
In this project, I attempt to solve fetch and slide open gym environment with Hindsight Experience Replay and the I experiment with Prioritised experience replay to see if there are any performance improvements
Third homework for the Reinforcement Learning course
Exploring different buffer sampling techniques to improve Hindisght Experience Replay on continuous control robotic application tasks. Continous action spaces & sparse rewards.
Add a description, image, and links to the prioritized-experience-replay topic page so that developers can more easily learn about it.
To associate your repository with the prioritized-experience-replay topic, visit your repo's landing page and select "manage topics."