louiskirsch / metagenrlLinks
MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.
☆67Updated 5 years ago
Alternatives and similar repositories for metagenrl
Users that are interested in metagenrl are comparing it to the libraries listed below
Sorting:
- ☆99Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆74Updated 8 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆106Updated 5 years ago
- ☆92Updated last year
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆62Updated 6 years ago
- ☆72Updated 6 years ago
- ☆54Updated last year
- ☆85Updated 4 years ago
- ☆62Updated 7 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 8 months ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆51Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆92Updated 4 years ago
- Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆194Updated 2 years ago
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 7 years ago
- Implementation of the Option-Critic Architecture☆40Updated 6 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆153Updated 5 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆217Updated 2 years ago
- ☆43Updated 7 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆162Updated 5 years ago
- Deep Variational Reinforcement Learning☆137Updated 3 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆129Updated 4 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
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Updated last year