publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2026
- Distributional Active InferenceIn Forty-third International Conference on Machine Learning, 2026
- Hitting Time Isomorphism for Multi-Stage Planning with Foundation PoliciesarXiv preprint arXiv:2605.06470, 2026
- A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-IterationarXiv preprint arXiv:2605.05791, 2026
- The Arbiter Agent: Continually Monitoring Multi-Agent Conversations to Detect Emergent MisalignmentarXiv preprint arXiv:2606.10747, 2026
2025
- On the Complexity of Learning to Cooperate with Populations of Socially Rational AgentsIn Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025
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- Value Improved Actor Critic AlgorithmsIn Advances in Neural Information Processing Systems (NeurIPS), 2025
- Abstraction for Bayesian Reinforcement Learning in Factored POMDPsTransactions on Machine Learning Research, 2025
2024
- Inverse Concave-Utility Reinforcement Learning is Inverse Game Theory. Under review, see URL for up-to-date version , 2024
- Uncoupled Learning of Differential Stackelberg Equilibria with CommitmentsIn Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
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- Modelling Needs User ModellingFrontiers in Artificial Intelligence, 2023
- Teaching to Learn: Sequential Teaching of Learners with Internal StatesIn Proceedings of the AAAI Conference on Artificial Intelligence, 2023
- Differentiable User ModelsIn The 39th Conference on Uncertainty in Artificial Intelligence (UAI), 2023
- Towards a Unifying Model of Rationality in Multiagent SystemsIn The 14th Workshop on Optimization and Learning in Multiagent Systems, Workshop at the 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), 2023
2022
- Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for CentaursIn Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
- Distributed Influence-Augmented Local Simulators for Parallel MARL in Large Networked SystemsIn Advances in Neural Information Processing Systems (NeurIPS), 2022
2019
- Interactive AI with a Theory of MindIn Computational Modeling in Human-Computer Interaction, ACM CHI Workshop, 2019
- Agent Robustness to Negative Interruptions: A Multi-agent Learning ApproachIn Bridging Game Theory and Deep Learning Workshop, NeurIPS, 2019
- Machine Teaching of Active Sequential LearnersIn Advances in Neural Information Processing Systems (NeurIPS), 2019
- Modelling User’s Theory of AI’s Mind in Interactive Intelligent SystemsIn The 4th Multi-disciplinary Conference on Reinforcement Learning and Decision-Making (RLDM), 2019