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Trial without Error: Towards Safe Reinforcement Learning via Human Intervention.

, , , and . AAMAS, page 2067-2069. International Foundation for Autonomous Agents and Multiagent Systems Richland, SC, USA / ACM, (2018)

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Agent-Agnostic Human-in-the-Loop Reinforcement Learning., , , and . CoRR, (2017)C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching., , and . CoRR, (2015)Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation., , and . AISTATS, volume 15 of JMLR Proceedings, page 770-778. JMLR.org, (2011)Reasoning about reasoning by nested conditioning: Modeling theory of mind with probabilistic programs., and . Cogn. Syst. Res., (2014)Why do you ask? Good questions provoke informative answers., , , and . CogSci, cognitivesciencesociety.org, (2015)Coarse-to-Fine Sequential Monte Carlo for Probabilistic Programs., , , and . CoRR, (2015)Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, , , , , , , , , and 441 other author(s). (2022)cite arxiv:2206.04615Comment: 27 pages, 17 figures + references and appendices, repo: https://github.com/google/BIG-bench.Knowledge and Implicature: Modeling Language Understanding as Social Cognition., and . Top. Cogn. Sci., 5 (1): 173-184 (2013)Iterated Decomposition: Improving Science Q&A by Supervising Reasoning Processes., , , , , , and . CoRR, (2023)Factored Verification: Detecting and Reducing Hallucination in Summaries of Academic Papers., and . CoRR, (2023)