IEEE

Deep Q-Learning-Based Handover for Spectral Coexistence Between Feeder and User Links in LEO Satellite Networks

Abstract: Deploying feeder links (i.e., between satellites and ground stations) at Ka-band is becoming a popular option among satellite operators thanks to its consolidated technology maturity level.
eLife

Q-learning with temporal memory to navigate turbulence

Revised: This Reviewed Preprint has been revised by the authors in response to the previous round of peer review; the eLife assessment and the public reviews have been updated where necessary by the ...
IEEE

Q-Learning-Based Optimal Control via Adaptive Critic Network for a Wankel Rotary Engine

Abstract: We propose a new Q-learning-based air-fuel ratio (AFR) controller for a Wankel rotary engine. We first present a mean-value engine model (MVEM) that is modified based on the rotary engine ...
GitHub

Create easier tutorial on using (Async)VectorEnvs

Create a more basic tutorial on using (Async)VectorEnvs and why you should learn them. I would say that perhaps taking the already excellent blackjact_agent tutorial and rewriting is using AsyncEnvs ...
Scientific Research Publishing

Rummery, G.A. and Niranjan, M. (1994) On-Line Q-Learning Using Connectionist Systems. Department of Engineering, University of Cambridge, Cambridge.

ABSTRACT: Double Q-learning has been shown to be effective in reinforcement learning scenarios when the reward system is stochastic. We apply the idea of double learning that this algorithm uses to ...
GitHub

Reinforcement (Q-)Learning with PyTorch.ipynb

"This tutorial shows how to use PyTorch to train a DQN agent on the CartPole-v0 task from the [OpenAI Gym](https://gym.openai.com/).\n", "The agent has to decide ...