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Teaching Artificial Agents to Understand Language by Modelling Reward.. CIKM, page 5-6. ACM, (2018)Learning to Understand Goal Specifications by Modelling Reward., , , , , , and . ICLR (Poster), OpenReview.net, (2019)Grounding Aleatoric Uncertainty in Unsupervised Environment Design., , , , , , , and . CoRR, (2022)Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning., and . Comput. Linguistics, 41 (1): 71-118 (2015)Scaling Opponent Shaping to High Dimensional Games., , , , , , , and . CoRR, (2023)Lambek vs. Lambek: Functorial vector space semantics and string diagrams for Lambek calculus., , and . Ann. Pure Appl. Log., 164 (11): 1079-1100 (2013)A Survey of Zero-shot Generalisation in Deep Reinforcement Learning., , , and . J. Artif. Intell. Res., (2023)Teaching Machines to Read and Comprehend, , , , , , and . (2015)cite arxiv:1506.03340Comment: Appears in: Advances in Neural Information Processing Systems 28 (NIPS 2015). 14 pages, 13 figures.A Survey of Reinforcement Learning Informed by Natural Language., , , , , , , and . IJCAI, page 6309-6317. ijcai.org, (2019)Reasoning about Entailment with Neural Attention., , , , and . ICLR (Poster), (2016)