3 papers
cs.MA2025
Hollywood Town: Long-Video Generation via Cross-Modal Multi-Agent Orchestration
Zheng Wei, Mingchen Li, Zeqian Zhang +6
Recent advancements in multi-agent systems have demonstrated significant potential for enhancing creative task performance, such as long video generation. This study introduces thr…
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…
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…