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Quantifying Generalization in Reinforcement Learning., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 1282-1289. PMLR, (2019)Leveraging Procedural Generation to Benchmark Reinforcement Learning., , , и . CoRR, (2019)Gotta Learn Fast: A New Benchmark for Generalization in RL., , , , и . CoRR, (2018)Training Verifiers to Solve Math Word Problems., , , , , , , , , и 2 other автор(ы). CoRR, (2021)Quantifying Generalization in Reinforcement Learning., , , , и . CoRR, (2018)Evaluating Large Language Models Trained on Code., , , , , , , , , и 48 other автор(ы). CoRR, (2021)Leveraging Procedural Generation to Benchmark Reinforcement Learning., , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 2048-2056. PMLR, (2020)Language Models are Few-Shot Learners., , , , , , , , , и 21 other автор(ы). NeurIPS, (2020)Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark., , , , , , , , , и 13 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 361-395. PMLR, (2020)