Reinforcement Learning

ZoomEarth: Active Perception for Ultra-High-Resolution Geospatial Vision-Language Tasks CVPR 2026 φ-Update: A Class of Policy Update Methods with Policy Convergence Guarantee ICLR 2025 q-exponential family for policy optimization ICLR 2025 A Causal Lens for Learning Long-term Fair Policies ICLR 2025 Accelerating Task Generalisation with Multi-Level Skill Hierarchies ICLR 2025 Achieving Õ(√T) Regret in Average-Reward POMDPs with Known Observation Models AISTATS 2025 ACING: Actor-Critic for Instruction Learning in Black-Box LLMs EMNLP 2025 Action abstractions for amortized sampling ICLR 2025 Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes ICLR 2025 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Actor-Critic learning for mean-field control in continuous time JMLR 2025 ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning ICLR 2025 Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025 Adaptive Reward Design for Reinforcement Learning UAI 2025 Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits AISTATS 2025 A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks L4DC 2025 AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning EMNLP 2025 AI-Powered Algorithm-Centric Quantum Processor Topology Design AAAI 2025 An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals ACL 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Anytime Safe Reinforcement Learning L4DC 2025 APIRL: Deep Reinforcement Learning for REST API Fuzzing AAAI 2025 Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025 A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025 A Safe Bayesian Learning Algorithm for Constrained MDPs with Bounded Constraint Violation AISTATS 2025