A Tensorflow implementation of the Option-Critic Architecture
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Updated
Jun 1, 2017 - Python
A Tensorflow implementation of the Option-Critic Architecture
Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning
Implementation of the Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning by Tianmin Shu, Caiming Xiong, and Richard Socher
This repository provides a simulation of 4-Room-World environment.
hdrqn
Pytorch implementation of Hierarchical Intentional-Unintentional Soft Actor-Critic (HIU-SAC) algorithm
Code and data for EMNLP-IJCNLP 2019 paper "Are You for Real? Detecting Identity Fraud via Dialogue Interactions"
Solution for Taxi env using HRL (Hierarchical reinforcement learning) (2018)
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.
A3C and generic hierarchical RL for sentiment analysis tasks
Deep reinforcement learning-basedskill transfer and composition method
Video Input Generative Adversarial Imitation Learning
This repo implements the HIRO algorithm for Hierarchical Reinforcement Learning in the original environment using Tensorflow 2.
A public release of my RL research.
This repository is the official implementation of "Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks."(NeurIPS 2020)
Posterior Goal Sampling for Hierarchical Reinforcement Learning
Spring 2021 - CSE 574 Project
Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning
Learning Recursive Goal Proposal: A hierarchical Reinforcement Learning Approach
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