navneet-nmk / Hierarchical-Meta-Reinforcement-LearningLinks
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
☆62Updated 6 years ago
Alternatives and similar repositories for Hierarchical-Meta-Reinforcement-Learning
Users that are interested in Hierarchical-Meta-Reinforcement-Learning are comparing it to the libraries listed below
Sorting:
- ☆62Updated 7 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆142Updated 2 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 3 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆32Updated 7 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 3 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆66Updated 5 years ago
- Implementation of the Option-Critic Architecture☆41Updated 6 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆39Updated 6 years ago
- ☆78Updated last year
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 6 years ago
- PyTorch IMPALA implementation☆27Updated 6 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆82Updated 2 years ago
- Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction☆161Updated 5 years ago
- Soft Actor-Critic☆156Updated 7 years ago
- PyTorch implementation of the Option-Critic framework, Harb et al. 2016☆137Updated last year
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- ☆131Updated last year
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 7 months ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- Code for Sibling Rivalry and experiments presented in associated paper☆17Updated 5 months ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆29Updated 6 years ago
- ☆92Updated last year
- ☆54Updated last year
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆74Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆69Updated 2 years ago