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20232026
most citedSTORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

8 citations · 8 across the 3 of their papers we have counts for

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cs.LG2026

Mixture-of-World Models: Scaling Multi-Task Reinforcement Learning with Modular Latent Dynamics

Boxuan Zhang, Weipu Zhang, Zhaohan Feng +4

A fundamental challenge in multi-task reinforcement learning (MTRL) is achieving sample efficiency in visual domains where tasks exhibit substantial heterogeneity in both observati…