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Applications

3,394 papers (43 classified directly here)

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Papers (including subtopics)

Dreaming to Assist: Learning to Align with Human Objectives for Shared Control in High-Speed Racing CoRL 2024 DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024 DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization ICLR 2024 Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning NeurIPS 2024 Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling L4DC 2024 DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control NeurIPS 2024 E2CL: Exploration-based Error Correction Learning for Embodied Agents EMNLP 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024 EASI: Evolutionary Adversarial Simulator Identification for Sim-to-Real Transfer NeurIPS 2024 Efficient Constraint Generation for Stochastic Shortest Path Problems AAAI 2024 Efficient Exploration in Average-Reward Constrained Reinforcement Learning: Achieving Near-Optimal Regret With Posterior Sampling ICML 2024 Efficient skill acquisition for insertion tasks in obstructed environments L4DC 2024 Efficient Value Iteration for s-rectangular Robust Markov Decision Processes ICML 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 EgoGen: An Egocentric Synthetic Data Generator CVPR 2024 Embodied Executable Policy Learning with Language-based Scene Summarization NAACL 2024 Embodied Human Activity Recognition WACV 2024 Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NeurIPS 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning ICML 2024 Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method IJCAI 2024 Enhancing Chess Reinforcement Learning with Graph Representation NeurIPS 2024 Enhancing Cooperation through Selective Interaction and Long-term Experiences in Multi-Agent Reinforcement Learning IJCAI 2024 Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation NeurIPS 2024 Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain ICLR 2024 Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation AAAI 2024