katerakelly / oysterLinks
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
☆501Updated 2 years ago
Alternatives and similar repositories for oyster
Users that are interested in oyster are comparing it to the libraries listed below
Sorting:
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆263Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆512Updated 2 years ago
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆593Updated 4 years ago
- PyTorch implementation of Trust Region Policy Optimization☆448Updated 7 years ago
- PyTorch implementation of Soft Actor-Critic (SAC)☆561Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆325Updated 3 years ago
- This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.☆435Updated 3 years ago
- ☆397Updated 6 years ago
- Author's PyTorch implementation of BCQ for continuous and discrete actions☆640Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆351Updated 5 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆462Updated 2 years ago
- Random Network Distillation pytorch☆253Updated 6 years ago
- ☆274Updated 7 years ago
- Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch☆866Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,348Updated last year
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆372Updated 4 years ago
- Code for conservative Q-learning☆457Updated 3 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆324Updated 2 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- PyTorch implementation of soft actor critic☆916Updated 3 months ago
- RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code☆701Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆556Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆251Updated 5 years ago
- Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL☆648Updated last year
- PyTorch implementation of SAC-Discrete.☆311Updated last year
- Code for the paper "Phasic Policy Gradient"☆266Updated 2 years ago
- Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)☆370Updated 6 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- Dream to Control: Learning Behaviors by Latent Imagination☆557Updated 4 years ago