GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
IEEE

Incremental Double Q-Learning-Enhanced MPC for Trajectory Tracking of Mobile Robots

Abstract: Achieving precise trajectory tracking for autonomous mobile robots in complex and dynamic environments poses a demanding challenge. In this study, we propose an innovative approach for the ...
IEEE

Deep Q-Learning with Gradient Target Tracking

Abstract: This paper introduces Q-learning with gradient target tracking, a novel reinforcement learning framework that provides a learned continuous target update mechanism as an alternative to the ...
marktechpost

A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

In this tutorial, we build a safety-critical reinforcement learning pipeline that learns entirely from fixed, offline data rather than live exploration. We design a custom environment, generate a ...