OpenAI's ES used in a feudal hrl style
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Updated
Jan 24, 2022 - Julia
OpenAI's ES used in a feudal hrl style
Pytorch code for Hierarchical Latent Space Learning (HLSL)
Pure-python-based, lightweight 2d-navigation environments.
Anchor: The achieved goal to replace the subgoal for hierarchical reinforcement learning
Spring 2021 - CSE 574 Project
Implementation of Option-Critic Algorithm - https://arxiv.org/abs/1609.05140
Reinforcement learning algorithms constrained by a partial program
Python implementation of Hierarchies of Abstract Machine (HAM) as a python coroutine. (Abandoned, new repo at Juno-T/pyham)
HRL envs from Data efficient hierarchical reinforcement learning in Julia using Lyceum MuJoCo
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
HierLearning is a C++11 implementation of a multi-agent, hierarchical reinforcement learning system for sequential decision problems.
This repo implements the HIRO algorithm for Hierarchical Reinforcement Learning in the original environment using Tensorflow 2.
Posterior Goal Sampling for Hierarchical Reinforcement Learning
Modular Deep RL infrastructure in PyTorch
Tasks with combinatorial structure embedded in MuJoCo robotics environments.
An end-to-end differentiable hierarchical reinforcement learning agent based on continuous sub-policy attention.
hdrqn
An interface for hierarchical environments.
Course work of Reinforcement-Learning-CS6700
SynGameZero – Flowsheet Synthesis in a Game environment with Zero Knowledge
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