quanvuong / handful-of-trials-pytorchLinks
Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
☆190Updated 2 years ago
Alternatives and similar repositories for handful-of-trials-pytorch
Users that are interested in handful-of-trials-pytorch are comparing it to the libraries listed below
Sorting:
- ☆198Updated 2 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- Code for MOPO: Model-based Offline Policy Optimization☆179Updated 3 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆151Updated 4 years ago
- ☆99Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 5 months ago
- ☆92Updated last year
- Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)☆191Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆170Updated 8 months ago
- ☆113Updated 2 years ago
- PyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)☆246Updated 5 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆133Updated last week
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆214Updated 2 years ago
- A pytorch reprelication of the model-based reinforcement learning algorithm MBPO☆170Updated 3 years ago
- Dream to Control: Learning Behaviors by Latent Imagination, implemented in PyTorch.☆306Updated last year
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 4 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆450Updated 2 years ago
- Multitask Environments for RL☆278Updated 3 years ago
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆192Updated 3 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆501Updated 2 years 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
- ☆392Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- A library of probabilistic model based RL algorithms in pytorch☆107Updated 4 years ago
- Pytorch implementation of distributed deep reinforcement learning☆76Updated 3 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆96Updated 5 years ago
- Deep Reinforcement Learning for Continuous Control in PyTorch☆100Updated 3 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆259Updated 5 years ago