anle2017

CloseAirCombat

An environment based on JSBSIM aimed at one-to-one close air combat.

combat_environment_my_with_figure

h-baselines

A repository of high-performing hierarchical reinforcement learning models and algorithms.

HRL

A HRL framework based on stable-baseline3

MARLlib

One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

rlpd

SAC-QMIX

Algorithm that combines QMIX with SAC for Multi-Agent Reinforcement Learning.

trials

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.