state abstraction

57 papers

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Co-occurring keywords

reinforcement learning (4122) markov decision process (788) model-based reinforcement learning (415) sample efficiency (469) representation learning (6174) hierarchical planning (88) world model (180) causal inference (1619) hierarchical reinforcement learning (168) temporal abstraction (75)

Papers

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

CoEx – Co-evolving World-model and Exploration EMNLP 2025

Autonomous Option Invention for Continual Hierarchical Reinforcement Learning and Planning AAAI 2025

Approximate State Abstraction for Markov Games AAAI 2025

Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025

Do LLMs Build World Representations? Probing Through the Lens of State Abstraction NIPS 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

Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning AAAI 2024

Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NIPS 2024

Learning Neuro-Symbolic Abstractions for Robot Planning and Learning AAAI 2024

Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition JMLR 2023

Provable Hierarchy-Based Meta-Reinforcement Learning AISTATS 2023

Conditional abstraction trees for sample-efficient reinforcement learning UAI 2023

ASAP: Attention-Based State Space Abstraction for Policy Summarization ACML 2023

Predicate Invention for Bilevel Planning AAAI 2023

Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction AAAI 2023

Hierarchical State Abstraction based on Structural Information Principles IJCAI 2023

Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction NIPS 2023

Practical Model Reductions for Verification of Multi-Agent Systems IJCAI 2023

Constrained Contrastive Reinforcement Learning ACML 2022

Optimal Admission Control for Multiclass Queues with Time-Varying Arrival Rates via State Abstraction AAAI 2022