Simulating Labor Market Dynamics with Agent-Based Models
talk, 2025 Japanese Economic Association Spring Meeting, Nagoya, Japan
Ruxin Chen and Zeqiang Zhang. (Poster Presentation) link
Talks and presentations
Deep Reinforcement Learning in Labor Market Simulations
talk, 2025 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, Trondheim, Norway
Ruxin Chen and Zeqiang Zhang. (Poster and Oral Presentation) link
Temporal goal abstraction for goal-conditioned reinforcement learning
Talk, FRoBio: Freiburg Robotics and Biology Conference, Freiburg, Germany
Fabian Wurzberger, Zeqiang Zhang, Gerrit Schmid, Sebastian Gottwald and Daniel Braun (Poster Presentation) link
Learning Contrastively: A Novel Goal-Conditioned Supervised Learning Approach with Dual-evaluation Mechanism
Talk, FRoBio: Freiburg Robotics and Biology Conference, Freiburg, Germany
Zeqiang Zhang, Fabian Wurzberger, Gerrit Schmid, Sebastian Gottwald and Daniel Braun (Poster Presentation) link