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cs.LG2025
Inter-Agent Relative Representations for Multi-Agent Option Discovery
Raul D. Steleac, Mohan Sridharan, David Abel
Temporally extended actions improve the ability to explore and plan in single-agent settings. In multi-agent settings, the exponential growth of the joint state space with the numb…
cs.LG2025
Memory Allocation in Resource-Constrained Reinforcement Learning
Massimiliano Tamborski, David Abel
Resource constraints can fundamentally change both learning and decision-making. We explore how memory constraints influence an agent's performance when navigating unknown environm…
cs.AI2025★ 1 cited
General agents contain world models
Jonathan Richens, David Abel, Alexis Bellot +1
Are world models a necessary ingredient for flexible, goal-directed behaviour, or is model-free learning sufficient? We provide a formal answer to this question, showing that any a…