Aidan Scannell

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Gaussian Process

Reinforcement Learning

Eligibility Traces

Top Venues

Publications

Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
Residual learning and context encoding for adaptive offline-to-online reinforcement learning. L4DC (2024)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. CoRR (2024)
Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Function-space Parameterization of Neural Networks for Sequential Learning. ICLR (2024)
Mohammadreza Nakhaei, Aidan Scannell, Joni Pajarinen
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning. CoRR (2024)
Aidan Scannell, Kalle Kujanpää, Yi Zhao, Mohammadreza Nakhaei, Arno Solin, Joni Pajarinen
iQRL - Implicitly Quantized Representations for Sample-efficient Reinforcement Learning. CoRR (2024)
Aidan Scannell, Carl Henrik Ek, Arthur Richards
Mode-constrained Model-based Reinforcement Learning via Gaussian Processes. AISTATS (2023)
Aidan Scannell, Riccardo Mereu, Paul E. Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Sparse Function-space Representation of Neural Networks. CoRR (2023)
Aidan Scannell, Carl Henrik Ek, Arthur Richards
Trajectory Optimisation in Learned Multimodal Dynamical Systems via Latent-ODE Collocation. ICRA (2021)