state representation learning

Latent State-Predictive Exploration for Deep Reinforcement Learning AAAI 2026 PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations CVPR 2026 Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025 MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning WACV 2025 NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation AAAI 2025 Learning invariant representations of time-homogeneous stochastic dynamical systems ICLR 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Robust Visual Imitation Learning with Inverse Dynamics Representations AAAI 2024 Hyperbolic VAE via Latent Gaussian Distributions NeurIPS 2023 Action-Sufficient State Representation Learning for Control with Structural Constraints ICML 2022 Intelligent Camera Selection Decisions for Target Tracking in a Camera Network WACV 2022 Learning State Representations via Retracing in Reinforcement Learning ICLR 2022 Mask-based Latent Reconstruction for Reinforcement Learning NeurIPS 2022 Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract) AAAI 2021 Training Recurrent Neural Networks Online by Learning Explicit State Variables ICLR 2020 The Laplacian in RL: Learning Representations with Efficient Approximations ICLR 2019 Dynamic-Depth Context Tree Weighting NeurIPS 2017 State Representation Learning in Robotics: Using Prior Knowledge about Physical Interaction RSS 2014 Selecting the State-Representation in Reinforcement Learning NeurIPS 2011