{"total":21,"rows":[{"id":"2106.13906","title":"Compositional Reinforcement Learning from Logical Specifications","created":"2021-06-25","cited_by_count":67,"area":null},{"id":"2106.05864","title":"Verifiable and Compositional Reinforcement Learning Systems","created":"2021-06-07","cited_by_count":13,"area":null},{"id":"2212.01944","title":"Automaton-Based Representations of Task Knowledge from Generative Language Models","created":"2022-12-04","cited_by_count":12,"area":null},{"id":"2211.10902","title":"Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines","created":"2022-11-20","cited_by_count":10,"area":null},{"id":"2206.03348","title":"Specification-Guided Learning of Nash Equilibria with High Social Welfare","created":"2022-06-06","cited_by_count":8,"area":null},{"id":"2110.00096","title":"Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines","created":"2021-09-30","cited_by_count":7,"area":null},{"id":"2107.10969","title":"Learning Quadruped Locomotion Policies using Logical Rules","created":"2021-07-23","cited_by_count":6,"area":null},{"id":"2111.09475","title":"Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines","created":"2021-11-18","cited_by_count":5,"area":null},{"id":"2208.13687","title":"Categorical semantics of compositional reinforcement learning","created":"2022-08-29","cited_by_count":5,"area":null},{"id":"2304.12090","title":"Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey","created":"2023-04-24","cited_by_count":5,"area":null},{"id":"2205.15752","title":"Hierarchies of Reward Machines","created":"2022-05-31","cited_by_count":4,"area":null},{"id":"2206.08881","title":"Logic-based Reward Shaping for Multi-Agent Reinforcement Learning","created":"2022-06-17","cited_by_count":3,"area":null},{"id":"2206.13754","title":"DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems","created":"2022-06-28","cited_by_count":3,"area":null},{"id":"2309.06420","title":"Verifiable Reinforcement Learning Systems via Compositionality","created":"2023-09-09","cited_by_count":3,"area":null},{"id":"2403.07005","title":"Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines","created":"2024-03-08","cited_by_count":3,"area":null},{"id":"2303.14061","title":"Learning Reward Machines in Cooperative Multi-Agent Tasks","created":"2023-03-24","cited_by_count":2,"area":null},{"id":"2306.11846","title":"Discovering Causality for Efficient Cooperation in Multi-Agent Environments","created":"2023-06-20","cited_by_count":2,"area":null},{"id":"2511.02304","title":"Automata-Conditioned Cooperative Multi-Agent Reinforcement Learning","created":"2025-11-04","cited_by_count":1,"area":null},{"id":"2408.08059","title":"Maximally Permissive Reward Machines","created":"2024-08-15","cited_by_count":0,"area":null},{"id":"2408.10074","title":"Synthesis of Reward Machines for Multi-Agent Equilibrium Design (Full Version)","created":"2024-08-19","cited_by_count":0,"area":null},{"id":"2506.07829","title":"Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information","created":"2025-06-09","cited_by_count":0,"area":null}],"next_cursor":null}