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

Constrained Ensemble Exploration for Unsupervised Skill Discovery

Temporally Correlated Episodic Reinforcement Learning, ICLR 24

Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.

Conditional Neural Expert Processes

The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745

This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.

Implementation of MiLEt for review

PyTorch Implementation for "Hyperbolic Representation Learning: Revisiting and Advancing (ICML 2023)"

solving ml10

Code for "TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning"

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

A Collection of Variational Autoencoders (VAE) in PyTorch.

Neural Diffusion Processes

PyTorch implementations of deep reinforcement learning algorithms and environments

Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS)

元强化学习MAML实现, 修改了部分老旧而不能运行的代码, 并可以通过render直接查看训练的结果

Python implementation of HDD, a hierarchical embedding and distance recovery method using hyperbolic geometry and diffusion geometry.

Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"

Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.

Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.