There are 27 repositories under hierarchical-reinforcement-learning topic.
For deep RL and the future of AI.
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
📚 List of Top-tier Conference Papers on Reinforcement Learning (RL),including: NeurIPS, ICML, AAAI, IJCAI, AAMAS, ICLR, ICRA, etc.
Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierarchical reinforcement learning. It includes the code for the proposed method and experimental results on real-world stock data to demonstrate its effectiveness.
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Notes and comments about Deep Reinforcement Learning papers
A Tensorflow implementation of the Option-Critic Architecture
Hierarchical-DQN in pytorch (not actively maintained)
"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
The Reinforcement-Learning-Related Papers of ICLR 2019
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spotlight).
Official implementation of H-TSP (AAAI2023)
(AAAI'2019) The codes, models, logs, and data for an extended paper of the original paper "On Reinforcement Learning for Full-length Game of StarCraft". AAAI = AAAI Conference on Artificial Intelligence.
Official code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)
A Python package that provides a simple framework for working with Options in Reinforcement Learning.
This is the source code for HDNO: a hierarchical model for task-oriented dialogue system.
An environement builder for hierarchical reasoning research
Collection of reinforcement learning algorithms
Code and data for EMNLP-IJCNLP 2019 paper "Are You for Real? Detecting Identity Fraud via Dialogue Interactions"
A3C and generic hierarchical RL for sentiment analysis tasks
My notes on reinforcement learning papers
The proceedings of top conference in 2023 on the topic of Reinforcement Learning (RL), including: AAAI, IJCAI, NeurIPS, ICML, ICLR, ICRA, AAMAS and more.
Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher
Framework for developing Actor-Critic deep RL algorithms (A3C, A2C, PPO, GAE, etc..) in different environments (OpenAI's Gym, Rogue, Sentiment Analysis, Car Controller, etc..) with continuous and discrete action spaces.
Deep reinforcement learning-basedskill transfer and composition method
Master thesis work: explaining deep reinforcement learning policies