activity
20222026
most citedSafe reinforcement learning for multi-energy management systems with known constraint functions

1 citations · 1 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.GT2023

Bridging the Gap Between Single and Multi Objective Games

Willem Röpke, Carla Groenland, Roxana Rădulescu +2

A classic model to study strategic decision making in multi-agent systems is the normal-form game. This model can be generalised to allow for an infinite number of pure strategies…

cs.LG2023

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization

Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers +2

Multi-objective reinforcement learning (MORL) algorithms tackle sequential decision problems where agents may have different preferences over (possibly conflicting) reward function…