1 citations · 1 across the 6 of their papers we have counts for
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HDDLGym: A Tool for Studying Multi-Agent Hierarchical Problems Defined in HDDL with OpenAI Gym
Ngoc La, Ruaridh Mon-Williams, Julie A. Shah
In recent years, reinforcement learning (RL) methods have been widely tested using tools like OpenAI Gym, though many tasks in these environments could also benefit from hierarchic…
Partner Modelling Emerges in Recurrent Agents (But Only When It Matters)
Ruaridh Mon-Williams, Max Taylor-Davies, Elizabeth Mieczkowski +5
Humans are remarkably adept at collaboration, able to infer the strengths and weaknesses of new partners in order to work successfully towards shared goals. To build AI systems wit…
Predicting Multi-Agent Specialization via Task Parallelizability
Elizabeth Mieczkowski, Ruaridh Mon-Williams, Neil Bramley +3
When should we encourage specialization in multi-agent systems versus train generalists that perform the entire task independently? We propose that specialization largely depends o…