Pytorch code for Hierarchical Latent Space Learning (HLSL)
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Updated
Aug 20, 2022 - Python
Pytorch code for Hierarchical Latent Space Learning (HLSL)
Pure-python-based, lightweight 2d-navigation environments.
Spring 2021 - CSE 574 Project
Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning
Python implementation of Hierarchies of Abstract Machine (HAM) as a python coroutine. (Abandoned, new repo at Juno-T/pyham)
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
This repo implements the HIRO algorithm for Hierarchical Reinforcement Learning in the original environment using Tensorflow 2.
Modular Deep RL infrastructure in PyTorch
Posterior Goal Sampling for Hierarchical Reinforcement Learning
An end-to-end differentiable hierarchical reinforcement learning agent based on continuous sub-policy attention.
Tasks with combinatorial structure embedded in MuJoCo robotics environments.
hdrqn
An interface for hierarchical environments.
A public release of my RL research.
Pytorch implementation of Hierarchical Intentional-Unintentional Soft Actor-Critic (HIU-SAC) algorithm
Learning Recursive Goal Proposal: A hierarchical Reinforcement Learning Approach
This repository is the official implementation of "Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks."(NeurIPS 2020)
Python implementation of Hierarchies of Abstract Machines (HAMs)
A project for researching a complex and long-horizon manipulation task especially focused on hierarchically stacking blocks.
This repository provides a simulation of 4-Room-World environment.
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