Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
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Updated
Dec 11, 2022 - Python
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments
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.
Deep Hierarchical Planning from Pixels
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
A Tensorflow implementation of the Option-Critic Architecture
Code for CoRL 2019 paper: HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators
"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580
Official implementation of H-TSP (AAAI2023)
PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spotlight).
Official code for "DHRL: A Graph-Based Approach for Long-Horizon and Sparse Hierarchical Reinforcement Learning" (NeurIPS 2022 Oral)
(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.
A Python package that provides a simple framework for working with Options in Reinforcement Learning.
Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
An environement builder for hierarchical reasoning research
This is the source code for HDNO: a hierarchical model for task-oriented dialogue system.
Code and data for EMNLP-IJCNLP 2019 paper "Are You for Real? Detecting Identity Fraud via Dialogue Interactions"
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