An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
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Updated
Jul 26, 2024 - Python
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
Implementation of HindSight Experience Replay paper with Pytorch
Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".
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
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.
Combining Experience Replay with Exploration by Random Network Distillation
RL based agent for atari games
Another Addition to the Pile of Deep Q Learning, Double DQN, PER, Dueling DQN Implementations
QWOP agent
A repository of Q-learning based Deep Reinforcement learning algorithms, including Linear DQN, DQN with experience reply, Dueling DQN and Double Dueling DQN. Mostly tested on Gym environments.
A very detailed project of Chrome Dinosaur in Deep RL for beginners
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