Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. - Denis Steckelmacher; Diederik M. Roijers; Anna Harutyunyan; Peter Vrancx; Hélène Plisnier; Ann Nowé (AAAI, 2018)

Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. - Hélène Plisnier; Denis Steckelmacher; Tim Brys; Diederik M. Roijers; Ann Nowé (CoRR, 2018)

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors. - Hélène Plisnier; Denis Steckelmacher; Diederik M. Roijers; Ann Nowé (BNAIC/BENELEARN, 2019)

A Motorized Wheelchair that Learns to Make its Way through a Crowd. - Denis Steckelmacher; Hélène Plisnier; Ann Nowé (BNAIC/BENELEARN, 2019)

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. - Denis Steckelmacher; Hélène Plisnier; Diederik M. Roijers; Ann Nowé (ECML/PKDD (3), 2019)

The Actor-Advisor: Policy Gradient With Off-Policy Advice. - Hélène Plisnier; Denis Steckelmacher; Diederik M. Roijers; Ann Nowé (CoRR, 2019)

Transfer Learning Across Simulated Robots With Different Sensors. - Hélène Plisnier; Denis Steckelmacher; Diederik M. Roijers; Ann Nowé (CoRR, 2019)

Transferring Multiple Policies to Hotstart Reinforcement Learning in an Air Compressor Management Problem. - Hélène Plisnier; Denis Steckelmacher; Jeroen Willems; Bruno Depraetere; Ann Nowé (CoRR, 2023)