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Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration., , , and . AAMAS, page 1146-1154. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Planning with Occluded Traffic Agents using Bi-Level Variational Occlusion Models., , , , and . ICRA, page 5558-5565. IEEE, (2023)Revisiting the Gumbel-Softmax in MADDPG., , and . CoRR, (2023)Ask more, know better: Reinforce-Learned Prompt Questions for Decision Making with Large Language Models., , , , , , and . CoRR, (2023)Collaborative Training of Multiple Autonomous Agents.. AAMAS, page 1836-1838. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Agent Modelling under Partial Observability for Deep Reinforcement Learning., , and . NeurIPS, page 19210-19222. (2021)Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning., , and . CoRR, (2022)Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning., , , and . CoRR, (2022)Deep Reinforcement Learning for Multi-Agent Interaction., , , , , , , , , and 7 other author(s). CoRR, (2022)Employing Hypergraphs for Efficient Coalition Formation with Application to the V2G Problem., and . ECAI, volume 285 of Frontiers in Artificial Intelligence and Applications, page 1604-1605. IOS Press, (2016)