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benchmark_vae

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

cmae

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

cnep

Conditional Neural Expert Processes

cnmp

SFM with CNMP

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

drl-code-pytorch

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

hie

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

hyperbolicdiffusiondistance

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

icmoenp

lex

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

marl-code-pytorch

Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.

mbrl-gpmm

melts

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

moenp

neural-diffusion-processes

Neural Diffusion Processes

neural-processes

Pytorch implementation of Neural Processes for functions and images :fireworks:

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

prompt

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

replay-based-recurrent-rl

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

safe-slac

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

simple_priors

taco

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

tcrl

versatile-np