An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

Use Deep Q-Learning model to optimize energy consumption of a data center

(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving

All in one - Everything useful about Aircrack-ng

Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

Implementation of HindSight Experience Replay paper with Pytorch

RL with OpenAI Gym

A reinforcement learning agent trained without prior human knowledge

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

Train an agent using RL to navigate (and collect bananas) in a large, square world

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

1'st Place approach for CVPR 2020 Continual Learning Challenge

Prioritized Sequence Experience Replay

This is an implementation of Deep Reinforcement Learning for a navigation task. Specifically, DQN algorithm with experience replay method is used to solve the task.

DQN, DDQN - using experience replay or prioritized experience replay

Collaboration and competition project of Udacity Deep Reinforcement Learning Nanodegree

RBDoom is a Rainbow-DQN based agent for playing the first-person shooter game Doom

Combining Experience Replay with Exploration by Random Network Distillation

Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.