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Reasoning

2,774 papers (30 classified directly here)

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Papers (including subtopics)

Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 Learning Logic Programs by Discovering Higher-Order Abstractions IJCAI 2024 Learning MDL Logic Programs from Noisy Data AAAI 2024 Learning Mixtures of Unknown Causal Interventions NeurIPS 2024 Learning Neuro-Symbolic Abstractions for Robot Planning and Learning AAAI 2024 Learning Planning Abstractions from Language ICLR 2024 Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis AAAI 2024 Learning Safe Action Models with Partial Observability AAAI 2024 Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias ICML 2024 Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise AAAI 2024 Learning the Topology and Behavior of Discrete Dynamical Systems AAAI 2024 Learning to Learn in Interactive Constraint Acquisition AAAI 2024 Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning AAAI 2024 Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process IJCAI 2024 Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models NeurIPS 2024 Lifted Planning: Recent Advances in Planning Using First-Order Representations IJCAI 2024 Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024 Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata AAAI 2024 LLMs Are Prone to Fallacies in Causal Inference EMNLP 2024 Local Causal Discovery with Linear non-Gaussian Cyclic Models AISTATS 2024 Local Causal Structure Learning in the Presence of Latent Variables ICML 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Localised Natural Causal Learning Algorithms for Weak Consistency Conditions UAI 2024 LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language Models EMNLP 2024