ChunyuanLI / RAS
AISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
☆15Updated 6 years ago
Alternatives and similar repositories for RAS:
Users that are interested in RAS are comparing it to the libraries listed below
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Updated 6 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Code release for the ICLR paper☆20Updated 6 years ago
- Ranking Policy Gradient☆23Updated 5 years ago
- Code for "Inference Suboptimality in Variational Autoencoders"☆14Updated 4 years ago
- Code to reproduce Supervised Policy Update (ICLR 2019)☆17Updated 2 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural netwo…☆53Updated 4 months ago
- Robust policy search algorithms which train on model ensembles☆28Updated 8 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 5 years ago
- A tensorflow implementation of VAE training with Renyi divergence☆31Updated 8 years ago
- PyTorch implementation of AVF☆45Updated 4 years ago
- Library for Auto-Encoding Sequential Monte Carlo☆18Updated last year
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆35Updated 6 years ago
- E2C implementation in PyTorch☆43Updated 7 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Stein Variational Policy Gradient for REINFORCE☆17Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Code for Deep Reinforcement and InfoMax Learning (Neurips 2020)☆10Updated 4 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- SeqGAN but with more bells and whistles☆24Updated 7 years ago
- Code accompanying the OptionGAN paper.☆43Updated 6 years ago
- ☆10Updated 6 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- ZForcing Repo☆40Updated 7 years ago
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Updated 7 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- This is my implementation of the Optimality Tightening☆37Updated 7 years ago