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Found 3 papers, 1 papers with code
Active World Model Learning in Agent-rich Environments with Progress Curiosity
World models are a family of predictive models that solve self-supervised problems on how the world evolves.
Active World Model Learning with Progress Curiosity
Humans learn world models by curiously exploring their environment, in the process acquiring compact abstractions of high bandwidth sensory inputs, the ability to plan across long temporal horizons, and an understanding of the behavioral patterns of other agents.
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation.
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