An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
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Updated
Jul 1, 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
(TNNLS) Prioritized Experience-Based Reinforcement Learning with Human Guidance for Autonomous Driving
Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch
Implementation of HindSight Experience Replay paper with Pytorch
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
1'st Place approach for CVPR 2020 Continual Learning Challenge
Combining Experience Replay with Exploration by Random Network Distillation
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
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.
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.
RL based agent for atari games
Navigation project of Udacity Deep Reinforcement Learning
An Optimistic Approach to the Q-Network Error in Actor-Critic Methods
Safe and Robust Experience Sharing for Deterministic Policy Gradient Algorithms
Towards Rehearsal-based Continual Learning at Scale: distributed CL with Horovod + PyTorch
Reinforcement learning of point to point reaching
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