Accepted Papers with Oral Presentation:
Causal-Paced Deep Reinforcement Learning Geonwoo Cho, Jaegyun Im, Doyoon Kim, and Sundong Kim
Learning What Matters: Endogenous Representation through Advantage Estimation and Sparse Attention Hsiao-Ru Pan, Anson Lei, Ingmar Posner, and Bernhard Schölkopf
Reframing attention as a reinforcement learning problem for causal discovery Turan Orujlu, Christian Gumbsch, Martin V. Butz, and Charley M. Wu
Other Accepted Papers:
FRONT: Foresighted Online Policy Optimization with Interference Liner Xiang, Liner Xiang, Jiayi Wang, and Hengrui Cai