louiskirsch / metagenrl
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 4 years ago
Alternatives and similar repositories for metagenrl:
Users that are interested in metagenrl are comparing it to the libraries listed below
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 7 years ago
- ☆97Updated last year
- E-MAML, and RL-MAML baseline implemented in Tensorflow v1☆16Updated 5 years ago
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆93Updated 2 years ago
- ☆91Updated last year
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Combining Evolutionary Algorithms and deep RL in various ways☆102Updated 4 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆83Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆53Updated last year
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- ☆70Updated 5 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated last week
- ☆42Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- on-policy optimization baselines for deep reinforcement learning☆29Updated 4 years ago
- ☆82Updated 3 years ago
- ☆74Updated 9 months ago
- This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.☆60Updated 5 years ago
- Code for "Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills"☆37Updated 5 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Revisiting Rainbow☆74Updated 3 years ago
- ☆42Updated 3 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆53Updated 4 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago