Search Results for author: Gabriel Ramos

Found 3 papers, 1 papers with code

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning

no code implementations5 Feb 2024 Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel Ramos, Roxana Rădulescu, Willem Röpke, Diederik M. Roijers

Research in multi-objective reinforcement learning (MORL) has introduced the utility-based paradigm, which makes use of both environmental rewards and a function that defines the utility derived by the user from those rewards.

Multi-Objective Reinforcement Learning reinforcement-learning

Cannot find the paper you are looking for? You can Submit a new open access paper.