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
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 3 months ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆189Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆150Updated 4 years ago
- Multitask Environments for RL☆276Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆301Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆239Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆215Updated 11 months ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆239Updated 5 years ago
- ☆341Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆160Updated 3 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆91Updated 9 months ago
- impact-driven-exploration☆131Updated last year
- ☆112Updated 2 years ago
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆228Updated 2 years ago
- Soft Actor-Critic☆145Updated 7 years ago
- Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020☆208Updated last year
- ☆195Updated 2 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆188Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 4 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆147Updated 3 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆105Updated 3 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆78Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Convert DeepMind Control Suite to OpenAI gym environments.☆86Updated 5 years ago
- Efficient Exploration via State Marginal Matching (2019)☆68Updated 5 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆149Updated 4 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- DMControl Generalization Benchmark☆168Updated last year
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆218Updated 2 years ago