79 citations · 370 across the 33 of their papers we have counts for
3 papers · 1 filter
TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning
Batıkan Bora Ormancı, Phillip Swazinna, Steffen Udluft +1
In this paper, we investigate offline reinforcement learning (RL) with the goal of training a single robust policy that generalizes effectively across environments with unseen dyna…
On-device Online Learning and Semantic Management of TinyML Systems
Haoyu Ren, Xue Li, Darko Anicic +1
Recent advances in Tiny Machine Learning (TinyML) empower low-footprint embedded devices for real-time on-device Machine Learning. While many acknowledge the potential benefits of…
Model-based Offline Quantum Reinforcement Learning
Simon Eisenmann, Daniel Hein, Steffen Udluft +1
This paper presents the first algorithm for model-based offline quantum reinforcement learning and demonstrates its functionality on the cart-pole benchmark. The model and the poli…