mila-iqia / atari-representation-learning
Code for "Unsupervised State Representation Learning in Atari"
☆242Updated last year
Related projects ⓘ
Alternatives and complementary repositories for atari-representation-learning
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆365Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆205Updated 6 months ago
- DrQ: Data regularized Q☆406Updated last year
- impact-driven-exploration☆128Updated last year
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆232Updated 2 years ago
- ☆286Updated last year
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆163Updated 2 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆186Updated 3 years ago
- Implementation of the Option-Critic Architecture on the Atari (ALE) environment☆170Updated 7 years ago
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆215Updated last year
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆191Updated 2 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆205Updated 5 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆157Updated 2 years ago
- rllab's viskit with some added features☆73Updated last year
- A customizable framework to create maze and gridworld environments☆260Updated 5 years ago
- Random Network Distillation pytorch☆241Updated 5 years ago
- [ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement☆123Updated 5 years ago
- ☆190Updated last year
- Code for the paper "Leveraging Procedural Generation to Benchmark Reinforcement Learning"☆169Updated last year
- ☆332Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆572Updated 4 years ago
- Deep Variational Reinforcement Learning☆134Updated 2 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆186Updated last year
- Soft Actor-Critic☆141Updated 6 years ago
- ☆389Updated 5 years ago
- Multitask Environments for RL☆274Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆286Updated 10 months ago
- Multi Task RL Baselines☆226Updated 2 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆253Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆472Updated last year