Reinforcement Learning

Differentially Private Reinforcement Learning with Self-Play NeurIPS 2024 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 DiffPhyCon: A Generative Approach to Control Complex Physical Systems NeurIPS 2024 Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization NeurIPS 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NeurIPS 2024 Diffusion Model Alignment Using Direct Preference Optimization CVPR 2024 DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph AAAI 2024 DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning NeurIPS 2024 Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation ACL 2024 Direct Multi-Turn Preference Optimization for Language Agents EMNLP 2024 Discerning Temporal Difference Learning AAAI 2024 Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning NeurIPS 2024 Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity JMLR 2024 Distributionally Robust Model-based Reinforcement Learning with Large State Spaces AISTATS 2024 Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation AISTATS 2024 Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms NeurIPS 2024 Distributional Off-Policy Evaluation for Slate Recommendations AAAI 2024 Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NeurIPS 2024 DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors NeurIPS 2024 DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling ACL 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 DRESS: Instructing Large Vision-Language Models to Align and Interact with Humans via Natural Language Feedback CVPR 2024 Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification CVPR 2024 EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading AAAI 2024