latent state

From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026 A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments ICML 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics EMNLP 2025 Identifying latent state transitions in non-linear dynamical systems ICLR 2025 Modeling Latent Non-Linear Dynamical System over Time Series AAAI 2025 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024 On the Actionability of Outcome Prediction AAAI 2024 PcLast: Discovering Plannable Continuous Latent States ICML 2024 Plug-in Language Model: Controlling Text Generation with a Simple Regression Model NAACL 2024 Repeat After Me: Transformers are Better than State Space Models at Copying ICML 2024 Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight ICLR 2024 Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NeurIPS 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 Towards Principled Representation Learning from Videos for Reinforcement Learning ICLR 2024 Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis NeurIPS 2023 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023 HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023 Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning World Models with Identifiable Factorization NeurIPS 2023 Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023 ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023