navneet-nmk / Hierarchical-Meta-Reinforcement-LearningLinks
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
☆60Updated 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:
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 3 weeks ago
- ☆76Updated last year
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 8 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- ☆61Updated 6 years ago
- 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 2 months ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 5 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 6 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆37Updated 6 years ago
- ☆83Updated 6 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- Curiosity-driven Exploration by Self-supervised Prediction☆138Updated 2 years ago
- ☆43Updated 6 years ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- ☆53Updated last year
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆141Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆86Updated 3 years ago
- Environments with IC3Net paper☆13Updated 6 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 7 years ago
- ☆91Updated last year