zjq0717's repositories
cnep
Conditional Neural Expert Processes
CMAE
The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745
HIE
PyTorch Implementation for "Hyperbolic Representation Learning: Revisiting and Advancing (ICML 2023)"
TACO
Code for "TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning"
benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
neural-diffusion-processes
Neural Diffusion Processes
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
MELTS
Context-Based Meta-Reinforcement Learning with Bayesian Nonparametric Models (MELTS)
maml-rl
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
HyperbolicDiffusionDistance
Python implementation of HDD, a hierarchical embedding and distance recovery method using hyperbolic geometry and diffusion geometry.
replay-based-recurrent-rl
Code for "Task-Agnostic Continual RL: In Praise of a Simple Baseline"
DRL-code-pytorch
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
safe-slac
Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.
MARL-code-pytorch
Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.
cnmp
SFM with CNMP
neural-processes
Pytorch implementation of Neural Processes for functions and images :fireworks: