conftrace_

latent state

47 papers

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Co-occurring keywords

reinforcement learning (4352) dynamical system (398) variational inference (2069) representation learning (6206) recurrent neural network (1790) time series (435) gaussian process (1200) sample complexity (1169) hidden markov model (302) linear dynamical system (86)

Papers

From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning AAAI 2026
Modeling Latent Non-Linear Dynamical System over Time Series AAAI 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
Spectral Learning of Shared Dynamics Between Generalized-Linear Processes NIPS 2024
On the Actionability of Outcome Prediction AAAI 2024
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024
Learning Hybrid Dynamics Models with Simulator-Informed Latent States AAAI 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NIPS 2024
Plug-in Language Model: Controlling Text Generation with a Simple Regression Model NAACL 2024
Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023
HOPE: High-order Graph ODE For Modeling Interacting Dynamics ICML 2023
Free-Form Variational Inference for Gaussian Process State-Space Models ICML 2023
The Ordered Matrix Dirichlet for State-Space Models AISTATS 2023
Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023
Representation Learning in Deep RL via Discrete Information Bottleneck AISTATS 2023
Beyond Geometry: Comparing the Temporal Structure of Computation in Neural Circuits with Dynamical Similarity Analysis NIPS 2023
ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023
Switching Autoregressive Low-rank Tensor Models NIPS 2023
Learning World Models with Identifiable Factorization NIPS 2023
Nearly Optimal Latent State Decoding in Block MDPs AISTATS 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023
Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning approach ICML 2022
Variational Mixtures of ODEs for Inferring Cellular Gene Expression Dynamics ICML 2022
ForeSI: Success-Aware Visual Navigation Agent WACV 2022