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Found 2 papers, 1 papers with code
Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning
Causal dynamics learning has recently emerged as a promising approach to enhancing robustness in reinforcement learning (RL).
Unsupervised Dynamics Prediction with Object-Centric Kinematics
Human perception involves discerning complex multi-object scenes into time-static object appearance (ie, size, shape, color) and time-varying object motion (ie, location, velocity, acceleration).
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