navneet-nmk / Hierarchical-Meta-Reinforcement-Learning
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
- A Tensorflow implementation of the Option-Critic Architecture☆72Updated 7 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆40Updated 4 years ago
- ☆76Updated 11 months ago
- Learning Individual Intrinsic Reward in MARL☆62Updated 2 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- PyTorch IMPALA implementation☆26Updated 5 years ago
- ☆61Updated 6 years ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆81Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆102Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆55Updated 2 months ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆103Updated 2 years ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆64Updated 5 years ago
- ☆53Updated last year
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)☆66Updated 5 years ago
- Deep Implicit Coordination Graphs☆41Updated 11 months ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆49Updated 2 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆94Updated 2 years ago
- ☆83Updated 4 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)☆70Updated last year
- ☆91Updated last year
- Model-Based Offline Reinforcement Learning☆50Updated 4 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 5 years ago
- ☆43Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago