conftrace_

state representation

62 papers

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Co-occurring keywords

reinforcement learning (4352) representation learning (6206) deep reinforcement learning (903) markov decision process (790) sample efficiency (472) state representation learning (14) latent space (854) action representation (16) offline reinforcement learning (492) contrastive learning (4032)

Papers

Hybrid State Representation for Video Procedure Planning WACV 2026
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning WACV 2025
Augmenting Multi-Agent Communication with State Delta Trajectory EMNLP 2025
VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025
NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation AAAI 2025
Tracking object positions in reinforcement learning: A metric for keypoint detection L4DC 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning NIPS 2024
Natural Language-based State Representation in Deep Reinforcement Learning NAACL 2024
DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NIPS 2024
MORE-3S:Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces COLING 2024
Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NIPS 2024
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus NIPS 2024
Reachability-Aware Laplacian Representation in Reinforcement Learning ICML 2023
SymNet 3.0: Exploiting Long-Range Influences in Learning Generalized Neural Policies for Relational MDPs UAI 2023
Bootstrapped Representations in Reinforcement Learning ICML 2023
Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? L4DC 2023
RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking AAAI 2023
Emergence of Abstract State Representations in Embodied Sequence Modeling EMNLP 2023
$\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning NIPS 2023
A State Representation for Diminishing Rewards NIPS 2023
Task-aware world model learning with meta weighting via bi-level optimization NIPS 2023
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023
Toward Compositional Generalization in Object-Oriented World Modeling ICML 2022
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control ICML 2022