Dataset supporting the thesis "Explaining the future context of deep reinforcement learning agents’ decision-making"

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# Dataset supporting the thesis "Explaining the future context of deep reinforcement learning agents’ decision-making" By Mark Towers, supervised by Prof. Timothy Norman, Dr Yali Du, and Prof. Chris Freeman This dataset contains folders for all three research chapters (Chapters 4, 5 and 6) * temporal-explanations-4-drl (Chapter 4) was published "Temporal Explanations for Deep Reinforcement Learning" at AAMAS EXTRAAMAS 2024 (https://link.springer.com/chapter/10.1007/978-3-031-70074-3_6) * temporal-reward-decomposition (Chapter 5) was published "Explaining an Agent's Future Beliefs through Temporally Decomposing Future Reward Estimators" at ECAI 2024 (https://arxiv.org/abs/2408.08230) * eval-xrl-goal-identification (Chapter 6) is unpublished currently Each folder contains their own readme with more details and are also available at https://github.com/pseudo-rnd-thoughts/{folder-name} DOI: https://doi.org/10.5258/SOTON/D3553

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