Colm Connaughton

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 16

Top Topics

Reward Function

Empirical Analysis

Reinforcement Learning

Top Venues

J. Comput. Phys.

Publications

Dominik Baumann, Erfaun Noorani, James Price, Ole Peters, Colm Connaughton, Thomas B. Schön
Non-ergodicity in reinforcement learning: robustness via ergodicity transformations. CoRR (2023)
James Price, Colm Connaughton
Distinguishing Risk Preferences using Repeated Gambles. CoRR (2023)
Aruane M. Pineda, Paul Kent, Colm Connaughton, Francisco Aparecido Rodrigues
Machine learning-based prediction of Q-voter model in complex networks. CoRR (2023)
Kirstin Roster, Colm Connaughton, Francisco A. Rodrigues
Forecasting new diseases in low-data settings using transfer learning. CoRR (2022)
Alvaro Cabrejas Egea, Colm Connaughton
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations. ITSC (2021)
Mohammad Noorbakhsh, Colm Connaughton, Francisco Aparecido Rodrigues
Discovering Causal Factors of Drought in Ethiopia. CI (2020)
Alvaro Cabrejas Egea, Shaun Howell, Maksis Knutins, Colm Connaughton
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations. CoRR (2020)
Alvaro Cabrejas Egea, Colm Connaughton
Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion. ITSC (2020)
Alvaro Cabrejas Egea, Shaun Howell, Maksis Knutins, Colm Connaughton
Assessment of Reward Functions for Reinforcement Learning Traffic Signal Control under Real-World Limitations. SMC (2020)
Alvaro Cabrejas Egea, Colm Connaughton
Assessment of Reward Functions in Reinforcement Learning for Multi-Modal Urban Traffic Control under Real-World limitations. CoRR (2020)
Alvaro Cabrejas Egea, Colm Connaughton
Wavelet Augmented Regression Profiling (WARP): improved long-term estimation of travel time series with recurrent congestion. CoRR (2020)
Kieran Kalair, Colm Connaughton
Empirical analysis of the variability in the flow-density relationship for smart motorways. CoRR (2019)
Francisco Aparecido Rodrigues, Thomas K. D. M. Peron, Colm Connaughton, Jürgen Kurths, Yamir Moreno
A machine learning approach to predicting dynamical observables from network structure. CoRR (2019)
Alvaro Cabrejas Egea, Peter De-Ford, Colm Connaughton
Estimating Baseline Travel Times for the UK Strategic Road Network. ITSC (2018)
Kieran Kalair, Colm Connaughton
Large Scale Performance Assessment of the Lighthill-Whitham-Richards Model on a Smart Motorway. ITSC (2018)
Benjamin S. Collyer, Colm Connaughton, Duncan A. Lockerby
Importance sampling variance reduction for the Fokker-Planck rarefied gas particle method. J. Comput. Phys. 325 (2016)