Kaixhin / PlaNetLinks
Deep Planning Network: Control from pixels by latent planning with learned dynamics
☆374Updated 4 years ago
Alternatives and similar repositories for PlaNet
Users that are interested in PlaNet are comparing it to the libraries listed below
Sorting:
- DrQ: Data regularized Q☆419Updated 3 years ago
- Multitask Environments for RL☆281Updated 4 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆246Updated 3 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆471Updated 2 years ago
- ☆398Updated 6 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆154Updated 5 years ago
- Building Agents with Imagination: pytorch step-by-step implementation☆209Updated 6 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆205Updated 5 years ago
- Code for "Unsupervised State Representation Learning in Atari"☆258Updated 2 years ago
- Basic versions of agents from Spinning Up in Deep RL written in PyTorch☆209Updated 4 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆507Updated 3 years ago
- A customizable framework to create maze and gridworld environments☆269Updated 6 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆579Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 3 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆226Updated last year
- Repository for the paper "Planning to Explore via Self-Supervised World Models"☆232Updated 2 years ago
- ☆326Updated last year
- Random Network Distillation pytorch☆260Updated 6 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 3 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 3 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch☆654Updated 3 years ago
- Convert DeepMind Control Suite to OpenAI gym environments.☆87Updated 6 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆321Updated 2 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆156Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆269Updated 5 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆253Updated 5 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- ☆276Updated 7 years ago