no code implementations • 6 Mar 2024 • Suzan Ece Ada, Hanne Say, Emre Ugur, Erhan Oztop
In an attempt to exemplify such a development by inspiring how humans acquire knowledge and transfer skills among tasks, we introduce a novel multi-task reinforcement learning framework named Episodic Return Progress with Bidirectional Progressive Neural Networks (ERP-BPNN).
no code implementations • 31 Jan 2024 • Aydin Emre Utku, Suzan Ece Ada, Muhammet Hatipoglu, Mustafa Derman, Emre Ugur, Evren Samur
Accordingly, we design a model and a learning framework for a human-exoskeleton system with crutches.
no code implementations • 10 Jul 2023 • Suzan Ece Ada, Erhan Oztop, Emre Ugur
In contrast to behavior cloning, which assumes the data is collected from expert demonstrations, offline RL can work with non-expert data and multimodal behavior policies.
no code implementations • 20 Feb 2023 • Suzan Ece Ada, Emre Ugur
To reduce the number of samples required at test time, we first obtain a latent representation of the transition dynamics from a single rollout from the test environment with hidden parameters.
no code implementations • 29 Nov 2021 • Suzan Ece Ada, M. Yunus Seker
Sketches are abstract representations of visual perception and visuospatial construction.
no code implementations • 3 Sep 2019 • Suzan Ece Ada, Emre Ugur, H. Levent Akin
Furthermore, we increase the generalization capacity in widely used transfer learning benchmarks by using maximum entropy regularization, different critic methods, and curriculum learning in an adversarial setup.