Výsledky vyhledávání - "Spiegel, Benjamin"

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Autor: Ma, Rachel, Lam, Lyndon, Spiegel, Benjamin A., Ganeshan, Aditya, Patel, Roma, Abbatematteo, Ben, Paulius, David, Tellex, Stefanie, Konidaris, George

It is imperative that robots can understand natural language commands issued by humans. Such commands typically contain verbs that signify what action should be performed on a given object and that are applicable to many objects. We propose a method

Externí odkaz: http://arxiv.org/abs/2410.14118

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RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents

Autor: Rodriguez-Sanchez, Rafael, Spiegel, Benjamin A., Wang, Jennifer, Patel, Roma, Tellex, Stefanie, Konidaris, George

We introduce RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent. Unlike existing RL DSLs that ground to \textit{single} elements of a decision-making formalism (e.g., the reward function or policy), RLang can sp

Externí odkaz: http://arxiv.org/abs/2208.06448

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Guided Policy Search for Parameterized Skills using Adverbs

Autor: Spiegel, Benjamin A., Konidaris, George

We present a method for using adverb phrases to adjust skill parameters via learned adverb-skill groundings. These groundings allow an agent to use adverb feedback provided by a human to directly update a skill policy, in a manner similar to traditio

Externí odkaz: http://arxiv.org/abs/2110.15799

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MK-SQuIT: Synthesizing Questions using Iterative Template-filling

Autor: Spiegel, Benjamin A., Cheong, Vincent, Kaplan, James E., Sanchez, Anthony

The aim of this work is to create a framework for synthetically generating question/query pairs with as little human input as possible. These datasets can be used to train machine translation systems to convert natural language questions into queries

Externí odkaz: http://arxiv.org/abs/2011.02566

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