Publications

Aryaman Reddi, Gabriele Tiboni, Jan Peters, Carlo D'Eramo (2025). K-Level Policy Gradients for Multi-Agent Reinforcement Learning. In EWRL.

Jingkai Li (2025). Can “consciousness” be observed from large language model (LLM) internal states? Dissecting LLM representations obtained from Theory of Mind test with Integrated Information Theory and Span Representation analysis. In NLPJ.

Aryaman Reddi, Glenn Vinnicombe (2025). Deep Learning Agents Trained For Avoidance Behave Like Hawks And Doves.

Jose-Luis Holgado-Alvarez, Aryaman Reddi, Carlo D'Eramo (2024). Dynamic Obstacle Avoidance with Bounded Rationality Adversarial Reinforcement Learning. In CORL.

Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo (2024). Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula . In ICLR.