ikrets / CS294-158-homeworksLinks
My homework solutions for UC Berkeley CS294: deep unsupervised learning
☆14Updated 2 years ago
Alternatives and similar repositories for CS294-158-homeworks
Users that are interested in CS294-158-homeworks are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- Code accompanying the OptionGAN paper.☆44Updated 7 years ago
- Code Released for NeurIPS 2018 paper: Synthesized Policies for Transfer and Adaptation across Tasks and Environments☆16Updated 6 years ago
- PyTorch implementation of Memory Augmented Self-Play☆52Updated 5 years ago
- Distributed A3C☆34Updated 8 years ago
- Implementation of PPO in Pytorch☆41Updated 8 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 7 years ago
- Solving reinforcement learning tasks which require language and vision☆33Updated 2 years ago
- ZForcing Repo☆40Updated 8 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆67Updated 7 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 6 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated 2 years ago
- Notes from ICLR 2019☆25Updated 6 years ago
- Reinforcement learning algorithm implementations and ML experimentation workspace☆43Updated 6 years ago
- ☆45Updated 6 years ago
- Reimplementation code for the paper "Generative Temporal Models with Spatial Memory for Partially Observed Environments"☆29Updated 3 years ago
- Pytorch Implementation of Proximal Policy Optimization Algorithm☆20Updated 7 years ago
- A short and easy implementation of Quantile Regression DQN | Distributional Reinforcement Learning☆97Updated 5 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 6 years ago
- Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"☆121Updated 7 years ago
- An implementation of DIP-VAE from the paper "Variational Inference of Disentangled Latent Concepts from Unlabelled Observations" by Kumar…☆26Updated 7 years ago
- rich posterior approximations and anomaly detection☆20Updated 6 years ago
- Z Forcing: Training Stochastic RNN's, NIPS'17☆33Updated 8 years ago
- Measuring compositionality in representation learning☆73Updated 6 years ago
- Graph Nets in pytorch☆27Updated 3 years ago
- SeqGAN but with more bells and whistles☆24Updated 7 years ago
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆43Updated 7 years ago
- On the pitfalls of measuring emergent communication☆34Updated 6 years ago
- ☆85Updated 6 years ago
- An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU…☆72Updated 7 years ago