Methods

Accelerating Task Generalisation with Multi-Level Skill Hierarchies ICLR 2025 Accurate and Efficient World Modeling with Masked Latent Transformers ICML 2025 ACECODER: Acing Coder RL via Automated Test-Case Synthesis ACL 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 A Classification View on Meta Learning Bandits ICML 2025 Acting Beyond Learning: Imagination-Assisted Decision-Making in the Visual-based Multi-Agent Cooperative Scenarios AAAI 2025 Action abstractions for amortized sampling ICLR 2025 Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning L4DC 2025 Action-Constrained Imitation Learning ICML 2025 Action-Dependent Optimality-Preserving Reward Shaping ICML 2025 Action Flow Matching for Lifelong Learning RSS 2025 Action-Free Reasoning for Policy Generalization CoRL 2025 ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025 Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss ICML 2025 Active Geospatial Search for Efficient Tenant Eviction Outreach AAAI 2025 ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample V-Ensemble ICLR 2025 Active Perception Meets Rule-Guided RL: A Two-Phase Approach for Precise Object Navigation in Complex Environments ICCV 2025 Active Reinforcement Learning Strategies for Offline Policy Improvement AAAI 2025 Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment ICML 2025 Actor-Critic learning for mean-field control in continuous time JMLR 2025 Actor-Critics Can Achieve Optimal Sample Efficiency ICML 2025 ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning ICLR 2025 Adapting LLM Agents with Universal Communication Feedback NAACL 2025 Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning ICLR 2025