Accepted Works

Active Inference as a Model of Agency by Lancelot Da Costa, Samuel Tenka, Dominic Zhao, and Noor Sajid.

Agency, Learning, Functions and Goals by Patrick Butlin.

Back for the Future: Hierarchical Planning is Beyond Semi-MDP by Victor Zhang, Jenny Cao, Minglu Zhao, Stephanie Stacy, and Tao Gao.

On the Expressivity of Multidimensional Markov Reward by Shuwa Miura.

In-silico Experimental Economics Experiments through Multi-agent Reinforcement Learning Autocurricula by Aslan Satary Dizaji

RL with KL Penalties is Better Viewed as Bayesian Inference by Tomasz Korbak, Ethan Perez, and Christopher L. Buckley.

Shared Agency Versus Sharing rewards: On the Jointness of Multi-Agent Cooperation Modeling by Minglu Zhao, Siyi Gong, Stephanie Stacy, and Tao Gao.

Tell Me What to Do: Reinforcement Learning Contributes to Modeling Human Communication but Is not All You Need by Kaiwen Jiang, Siyi Gong, Boxuan Jiang, Stephanie Stacy, Anahita Sadaghdar, and Tao Gao.

Time to Take Embodiment Seriously by John D. Martin

Towards Applicable State Abstractions: a Preview in Strategy Games by Linjie Xu, Diego Perez-Liebana, and Alexander Dockhorn.

Valence: A Puzzle for Reinforcement Learning by Robert Long.