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state representation

79 papers

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Co-occurring keywords · papers mentioning both

reinforcement learning (30) representation learning (19) deep reinforcement learning (10) markov decision process (9) sample efficiency (7) offline reinforcement learning (6) state representation learning (5) contrastive learning (5) partial observability (4) regret bound (4)

Papers

Hybrid State Representation for Video Procedure Planning WACV 2026 StaMo: Unsupervised Learning of Generalizable Robot Motion from Compact State Representation CVPR 2026 UNUM: A New Framework for Network Control NSDI 2026 Augmenting Multi-Agent Communication with State Delta Trajectory EMNLP 2025 Graph-Supported Dynamic Algorithm Configuration for Multi-Objective Combinatorial Optimization ICML 2025 Maximum Total Correlation Reinforcement Learning ICML 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 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NeurIPS 2024 Improving Intrinsic Exploration by Creating Stationary Objectives ICLR 2024 LLM-Empowered State Representation for Reinforcement Learning ICML 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces COLING 2024 Natural Language-based State Representation in Deep Reinforcement Learning NAACL 2024 Offline RL with Observation Histories: Analyzing and Improving Sample Complexity ICLR 2024 Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NeurIPS 2024 State Chrono Representation for Enhancing Generalization in Reinforcement Learning NeurIPS 2024 Tracking object positions in reinforcement learning: A metric for keypoint detection L4DC 2024 Unlocking the Power of Representations in Long-term Novelty-based Exploration ICLR 2024 TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NeurIPS 2023 A State Representation for Diminishing Rewards NeurIPS 2023 BarlowRL: Barlow Twins for Data-Efficient Reinforcement Learning ACML 2023 Behavior Prior Representation learning for Offline Reinforcement Learning ICLR 2023 Bootstrapped Representations in Reinforcement Learning ICML 2023