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

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

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

1'st Place approach for CVPR 2020 Continual Learning Challenge

All in one - Everything useful about Aircrack-ng

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

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

Implementation of HindSight Experience Replay paper with Pytorch

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

Prioritized Sequence Experience Replay

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.

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

Off-Policy Correction for Actor-Critic Algorithms in Deep Reinforcement Learning

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

A reinforcement learning agent trained without prior human knowledge

RL with OpenAI Gym

Distributed RL platform with modified IMPALA architecture. Implements CLEAR, LASER V-trace modifications along with Attentive and Elite sampling experience replay methods.

M.Sc. thesis on Continual Learning for Non-Autoregressive Neural Machine Translation

A multi agent reinforcement learning environment where two agents controlled by DRQNs play a custom version of the pursuit-evasion game.