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Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning.

, , , and . J. Artif. Intell. Res., (2022)

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Specifying Plausibility Levels for Iterated Belief Change in the Situation Calculus., , and . KR, page 257-266. AAAI Press, (2018)Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning., , , and . AAMAS, page 18-26. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Changing Beliefs about Domain Dynamics in the Situation Calculus., , and . KR, page 572-581. (2020)Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning., , , and . J. Artif. Intell. Res., (2022)Learning Reward Machines: A Study in Partially Observable Reinforcement Learning., , , , , and . CoRR, (2021)Planning to Avoid Side Effects., , , and . AAAI, page 9830-9839. AAAI Press, (2022)Towards the Role of Theory of Mind in Explanation., , and . EXTRAAMAS@AAMAS, volume 12175 of Lecture Notes in Computer Science, page 75-93. Springer, (2020)Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning., , , and . CoRR, (2020)Remembering to Be Fair: On Non-Markovian Fairness in Sequential Decision Making (Preliminary Report)., , , and . CoRR, (2023)Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines., , , , , and . CoRR, (2022)