{"total":28,"rows":[{"id":"2111.09259","title":"Acquisition of Chess Knowledge in AlphaZero","created":"2021-11-17","cited_by_count":123,"area":null},{"id":"2112.13112","title":"A Survey on Interpretable Reinforcement Learning","created":"2021-12-24","cited_by_count":73,"area":null},{"id":"2310.16410","title":"Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero","created":"2023-10-25","cited_by_count":42,"area":null},{"id":"2101.12446","title":"Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning","created":"2021-01-29","cited_by_count":39,"area":null},{"id":"2102.13045","title":"Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods","created":"2021-02-25","cited_by_count":31,"area":null},{"id":"2202.08434","title":"A Survey of Explainable Reinforcement Learning","created":"2022-02-17","cited_by_count":31,"area":null},{"id":"2107.00110","title":"Classical Planning in Deep Latent Space","created":"2021-06-30","cited_by_count":22,"area":null},{"id":"2208.10605","title":"SoK: Explainable Machine Learning for Computer Security Applications","created":"2022-08-22","cited_by_count":20,"area":null},{"id":"2105.02658","title":"Explainable Autonomous Robots: A Survey and Perspective","created":"2021-05-06","cited_by_count":15,"area":null},{"id":"2405.16450","title":"Synthesizing Programmatic Reinforcement Learning Policies with Large Language Model Guided Search","created":"2024-05-26","cited_by_count":13,"area":null},{"id":"2305.04073","title":"Explaining RL Decisions with Trajectories","created":"2023-05-06","cited_by_count":7,"area":null},{"id":"2408.08770","title":"Pessimistic Iterative Planning with RNNs for Robust POMDPs","created":"2024-08-16","cited_by_count":7,"area":null},{"id":"2202.03597","title":"Local Explanations for Reinforcement Learning","created":"2022-02-08","cited_by_count":5,"area":null},{"id":"2103.01203","title":"Generating Probabilistic Safety Guarantees for Neural Network Controllers","created":"2021-03-01","cited_by_count":4,"area":null},{"id":"2301.02952","title":"Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior","created":"2023-01-08","cited_by_count":4,"area":null},{"id":"2308.02729","title":"Synthesizing Programmatic Policies with Actor-Critic Algorithms and ReLU Networks","created":"2023-08-04","cited_by_count":3,"area":null},{"id":"2106.07288","title":"Learning-Aided Heuristics Design for Storage System","created":"2021-06-14","cited_by_count":2,"area":null},{"id":"2109.13978","title":"Identifying Reasoning Flaws in Planning-Based RL Using Tree Explanations","created":"2021-09-28","cited_by_count":2,"area":null},{"id":"2208.08552","title":"A Framework for Understanding and Visualizing Strategies of RL Agents","created":"2022-08-17","cited_by_count":2,"area":null},{"id":"2108.10363","title":"Knowledge-based XAI through CBR: There is more to explanations than models can tell","created":"2021-08-23","cited_by_count":1,"area":null},{"id":"2311.15960","title":"Program Machine Policy: Addressing Long-Horizon Tasks by Integrating Program Synthesis and State Machines","created":"2023-11-27","cited_by_count":1,"area":null},{"id":"2312.14359","title":"Training Neural Networks with Internal State, Unconstrained Connectivity, and Discrete Activations","created":"2023-12-22","cited_by_count":1,"area":null},{"id":"2108.10437","title":"Longitudinal Distance: Towards Accountable Instance Attribution","created":"2021-08-23","cited_by_count":0,"area":null},{"id":"2206.02039","title":"Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL","created":"2022-06-04","cited_by_count":0,"area":null},{"id":"2211.06376","title":"Global and Local Analysis of Interestingness for Competency-Aware Deep Reinforcement Learning","created":"2022-11-11","cited_by_count":0,"area":null},{"id":"2307.08933","title":"IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness","created":"2023-07-18","cited_by_count":0,"area":null},{"id":"2411.13365","title":"Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees","created":"2024-11-20","cited_by_count":0,"area":null},{"id":"2503.17405","title":"Efficiently Vectorized MCMC on Modern Accelerators","created":"2025-03-20","cited_by_count":0,"area":null}],"next_cursor":null}