Search Results for author: Taku Yamagata

Found 6 papers, 0 papers with code

Safe and Robust Reinforcement-Learning: Principles and Practice

no code implementations27 Mar 2024 Taku Yamagata, Raul Santos-Rodriguez

Reinforcement Learning (RL) has shown remarkable success in solving relatively complex tasks, yet the deployment of RL systems in real-world scenarios poses significant challenges related to safety and robustness.

Domain Adaptation reinforcement-learning +1

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL

no code implementations8 Sep 2022 Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez

The Decision Transformer (DT) combines the conditional policy approach and a transformer architecture, showing competitive performance against several benchmarks.

D4RL Offline RL +2

Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills

no code implementations16 Nov 2021 Taku Yamagata, Ryan McConville, Raul Santos-Rodriguez

We empirically show that our approach can accurately learn the reliability of each trainer correctly and use it to maximise the information gained from the multiple trainers' feedback, even if some of the sources are adversarial.

reinforcement-learning Reinforcement Learning (RL)

Cannot find the paper you are looking for? You can Submit a new open access paper.