conftrace_

latent state space

11 papers

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Co-occurring keywords · papers mentioning both

model-based reinforcement learning (4) time series (2) stochastic process (2) recurrent neural network (2) world model (2) multimodal fusion (2) ordinary differential equation (2) latent state (2) variational inference (2) sample efficiency (2)

Papers

MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios AAAI 2026 Choreographer: Learning and Adapting Skills in Imagination ICLR 2023 Deep Latent State Space Models for Time-Series Generation ICML 2023 In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States L4DC 2023 ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data AAAI 2023 Posterior Sampling for Deep Reinforcement Learning ICML 2023 Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns AAAI 2023 Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series AAAI 2020 Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning ICML 2020 Autoregressive Text Generation Beyond Feedback Loops EMNLP 2019 Combined Reinforcement Learning via Abstract Representations AAAI 2019