state abstraction

Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions AAAI 2026 DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning AAAI 2026 Managing Infinite Abstractions in Numeric Pattern Database Heuristics AAAI 2026 Approximate State Abstraction for Markov Games AAAI 2025 Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning AAAI 2025 CoEx – Co-evolving World-model and Exploration EMNLP 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 Temporal Distance-aware Transition Augmentation for Offline Model-based Reinforcement Learning ICML 2025 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NeurIPS 2024 Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024 Do LLMs Build World Representations? Probing Through the Lens of State Abstraction NeurIPS 2024 Learning Neuro-Symbolic Abstractions for Robot Planning and Learning AAAI 2024 Learning Planning Abstractions from Language ICLR 2024 Learning with Language-Guided State Abstractions ICLR 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 Policy Gradient Methods in the Presence of Symmetries and State Abstractions JMLR 2024 Reward-Respecting Subtasks for Model-Based Reinforcement Learning (Abstract Reprint) AAAI 2024 Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction NeurIPS 2023 ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023 Conditional abstraction trees for sample-efficient reinforcement learning UAI 2023 Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023 Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023 Neural Episodic Control with State Abstraction ICLR 2023 Practical Model Reductions for Verification of Multi-Agent Systems IJCAI 2023 Predicate Invention for Bilevel Planning AAAI 2023