Henryk Michalewski
4 papers in the PaperMetrix corpus
Papers by this author
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Model-Based Reinforcement Learning for Atari
2019 · arXiv (Cornell University)
Model-free reinforcement learning (RL) can be used to learn effective policies for complex tasks, such as Atari games, even from image observations. However, this typically requires very large amounts of interaction -- substantially more, in …
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Multi-Game Decision Transformers
2022 · arXiv (Cornell University)
A longstanding goal of the field of AI is a method for learning a highly capable, generalist agent from diverse experience. In the subfields of vision and language, this was largely achieved by scaling up …
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PaLM: Scaling Language Modeling with Pathways
2022 · arXiv (Cornell University)
Large language models have been shown to achieve remarkable performance across a variety of natural language tasks using few-shot learning, which drastically reduces the number of task-specific training examples needed to adapt the model to …
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Solving Quantitative Reasoning Problems with Language Models
2022 · arXiv (Cornell University)
Language models have achieved remarkable performance on a wide range of tasks that require natural language understanding. Nevertheless, state-of-the-art models have generally struggled with tasks that require quantitative reasoning, such as solving mathematics, science, and …