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Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators., , , , , , and . CoRR, (2021)Do Transformer World Models Give Better Policy Gradients?, , , , and . CoRR, (2024)Smart exploration in reinforcement learning using absolute temporal difference errors., and . AAMAS, page 1037-1044. IFAAMAS, (2013)Understanding End-to-End Model-Based Reinforcement Learning Methods as Implicit Parameterization., , , and . NeurIPS, page 703-714. (2021)Robust Reinforcement Learning: A Constrained Game-theoretic Approach., , , and . L4DC, volume 144 of Proceedings of Machine Learning Research, page 1242-1254. PMLR, (2021)Reinforcement Learning for Classical Planning: Viewing Heuristics as Dense Reward Generators., , , , , , and . ICAPS, page 588-596. AAAI Press, (2022)Incremental Truncated LSTD., , and . IJCAI, page 1505-1511. IJCAI/AAAI Press, (2016)Course Correcting Koopman Representations., , , , , and . CoRR, (2023)Incremental Truncated LSTD., and . CoRR, (2015)Bridging State and History Representations: Understanding Self-Predictive RL., , , , , , and . CoRR, (2024)