Deep RL

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning AAAI 2026 AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning AAAI 2026 Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward AAAI 2026 Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling via Reinforcement Learning CVPR 2026 AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition CVPR 2026 A Differential Perspective on Distributional Reinforcement Learning AAAI 2026 AI-Driven Real-Time Acoustic Modelling for Better Audio Perception in Dynamic Environments AAAI 2026 Android Coach: Improve Online Agentic Training Efficiency with Single State Multiple Actions ACL 2026 An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026 An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026 An NTK Theory Approach to UCB Estimation in Semi-gradient TD Learning UAI 2026 Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study CVPR 2026 Arabic Dialect Translation with Small LLMs: Enhancing through Reasoning-Oriented Reinforcement Learning EACL 2026 A Reinforcement Learning Approach in Multi-Phase Second-Price Auction Design JMLR 2026 A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models AAAI 2026 AT²PO: Agentic Turn-based Policy Optimization via Tree Search ACL 2026 A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance JMLR 2026 A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning AAAI 2026 AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation AAAI 2026 Best-Effort Policies for Robust Markov Decision Processes AAAI 2026 Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning AAAI 2026 Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling AAAI 2026 Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search AAAI 2026 Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning AAAI 2026 BLM-Guard: Explainable Multimodal Ad Moderation with Chain-of-Thought and Policy-Aligned Rewards AAAI 2026