2 papers
cs.LG2025
Autonomous Learning From Success and Failure: Goal-Conditioned Supervised Learning with Negative Feedback
Zeqiang Zhang, Fabian Wurzberger, Gerrit Schmid +2
Learning from reward functions and imitation learning of demonstrations are the two principal approaches for training autonomous systems that interact with an environment through a…
econ.GN2025
From Individual Learning to Market Equilibrium: Correcting Structural and Parametric Biases in RL Simulations of Economic Models
Ruxin Chen, Zeqiang Zhang
The application of Reinforcement Learning (RL) to economic modeling reveals a fundamental conflict between the assumptions of equilibrium theory and the emergent behavior of learni…