google-research / dadsLinks
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
☆192Updated 3 years ago
Alternatives and similar repositories for dads
Users that are interested in dads are comparing it to the libraries listed below
Sorting:
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆231Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆190Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 5 months ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆221Updated 2 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆151Updated 4 years ago
- Soft Actor-Critic☆150Updated 7 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- ☆113Updated 2 years ago
- impact-driven-exploration☆131Updated last year
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆214Updated 2 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆91Updated 2 years ago
- ☆198Updated 2 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆106Updated 3 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆246Updated 5 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 5 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆78Updated 3 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 5 years ago
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆191Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆93Updated 11 months ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆238Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆201Updated 2 years ago
- ☆53Updated 5 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- ☆99Updated 2 years ago
- ☆83Updated 4 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Updated 4 years ago