Title
On Generalization Across Environments In Multi-Objective Reinforcement Learning Jayden Teoh Pradeep Varakantham Peter Vamplew OffRL 34 0 0 02 Mar 2025
Evolution and The Knightian Blindspot of Machine Learning Joel Lehman Elliot Meyerson Tarek El-Gaaly Kenneth O. Stanley Tarin Ziyaee 86 1 0 22 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 49 12 0 31 Dec 2024
Towards Aligning Language Models with Textual Feedback Sauc Abadal Lloret S. Dhuliawala K. Murugesan Mrinmaya Sachan VLM 40 1 0 24 Jul 2024
Learning Roles with Emergent Social Value Orientations Wenhao Li Xiangfeng Wang Bo Jin J. Lu H. Zha 18 3 0 31 Jan 2023
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 43 2 0 10 Dec 2022
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning Conor F. Hayes Mathieu Reymond D. Roijers Enda Howley Patrick Mannion 19 4 0 23 Nov 2022
Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation Yannick Hogewind T. D. Simão Tal Kachman N. Jansen 16 10 0 02 Oct 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 24 3 0 01 Jul 2022
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 32 59 0 20 Aug 2021
Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 13 14 0 02 Jun 2021