Three Dogmas of Reinforcement Learning

15 July 2024

Papers citing "Three Dogmas of Reinforcement Learning"

7 / 7 papers shown

Title
Can Machine Learning Agents Deal with Hard Choices? Kangyu Wang 246 0 0 18 Apr 2025
Rethinking the Foundations for Continual Reinforcement Learning Michael H. Bowling Esraa Elelimy CLL OffRL LRM 27 1 0 10 Apr 2025
Possible principles for aligned structure learning agents Lancelot Da Costa Tomáš Gavenčiak David Hyland Mandana Samiei Cristian Dragos-Manta Candice Pattisapu Adeel Razi Karl J. Friston 16 0 0 30 Sep 2024
Robust agents learn causal world models Jonathan G. Richens Tom Everitt OOD 111 18 0 16 Feb 2024
MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning Mikayel Samvelyan Akbir Khan Michael Dennis Minqi Jiang Jack Parker-Holder Jakob N. Foerster Roberta Raileanu Tim Rocktaschel 46 12 0 06 Mar 2023
Utility Theory for Sequential Decision Making Mehran Shakerinava Siamak Ravanbakhsh 14 7 0 27 Jun 2022
Multi-Agent Reinforcement Learning with Temporal Logic Specifications Lewis Hammond Alessandro Abate Julian Gutierrez Michael Wooldridge AI4CE 29 29 0 01 Feb 2021