Deep RL

An Analysis of Quantile Temporal-Difference Learning JMLR 2024 An Analytical Study of Utility Functions in Multi-Objective Reinforcement Learning NeurIPS 2024 An Approach towards Unsupervised Text Simplification on Paragraph-Level for German Texts COLING 2024 A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation NeurIPS 2024 An efficient data-based off-policy Q-learning algorithm for optimal output feedback control of linear systems L4DC 2024 A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data ICML 2024 A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024 An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks ICML 2024 An Information Theoretic Approach to Interaction-Grounded Learning ICML 2024 An investigation of time reversal symmetry in reinforcement learning L4DC 2024 A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning AAAI 2024 Applying Reinforcement Learning and Multi-Generators for Stage Transition in an Emotional Support Dialogue System Interspeech 2024 Applying RLAIF for Code Generation with API-usage in Lightweight LLMs ACL 2024 A Reinforcement Learning Approach to Improve Low-Resource Machine Translation Leveraging Domain Monolingual Data COLING 2024 A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation AAAI 2024 Artificial Generational Intelligence: Cultural Accumulation in Reinforcement Learning NeurIPS 2024 A Simple Framework for Generalization in Visual RL under Dynamic Scene Perturbations NeurIPS 2024 A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees AAAI 2024 A Survey of Constraint Formulations in Safe Reinforcement Learning IJCAI 2024 A theoretical case-study of Scalable Oversight in Hierarchical Reinforcement Learning NeurIPS 2024 A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024 AUTODRAITEC: An Infrastructure-Based AUTOnomous DRiving System Using Artificial Intelligence and TEleCommunication Technologies IJCAI 2024 Averaging n-step Returns Reduces Variance in Reinforcement Learning ICML 2024 A Visual Active Search Framework for Geospatial Exploration WACV 2024 Backpropagation Through Agents AAAI 2024