google-research / dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
☆189Updated 3 years ago
Alternatives and similar repositories for dads:
Users that are interested in dads are comparing it to the libraries listed below
- OpenAI Gym wrapper for the DeepMind Control Suite☆210Updated 9 months ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆165Updated last month
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆188Updated 2 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆234Updated 2 years ago
- ☆191Updated last year
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆218Updated 2 years ago
- ☆111Updated last year
- Soft Actor-Critic☆144Updated 6 years ago
- Multitask Environments for RL☆275Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆193Updated 2 years ago
- Multi Task RL Baselines☆233Updated 3 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆150Updated 4 years ago
- ☆337Updated 2 years ago
- rllab's viskit with some added features☆73Updated last year
- impact-driven-exploration☆130Updated last year
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆225Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆238Updated 4 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆136Updated last year
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆370Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆294Updated last year
- DrQ: Data regularized Q☆414Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆186Updated last year
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated last year
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"