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of 30
pro vyhledávání: '"Sarathy, Vasanth"'
Turn-taking is a fundamental mechanism in human communication that ensures smooth and coherent verbal interactions. Recent advances in Large Language Models (LLMs) have motivated their use in improving the turn-taking capabilities of Spoken Dialogue
Externí odkaz:
http://arxiv.org/abs/2410.16044
Large Language Models (LLMs), despite achieving state-of-the-art results in a number of evaluation tasks, struggle to maintain their performance when logical reasoning is strictly required to correctly infer a prediction. In this work, we propose Arg
Externí odkaz:
http://arxiv.org/abs/2410.12997
Autor:
Shukla, Yash, Gao, Wenchang, Sarathy, Vasanth, Velasquez, Alvaro, Wright, Robert, Sinapov, Jivko
Recent advancements in reasoning abilities of Large Language Models (LLM) has promoted their usage in problems that require high-level planning for robots and artificial agents. However, current techniques that utilize LLMs for such planning tasks ma
Externí odkaz:
http://arxiv.org/abs/2310.09454
We propose RAPid-Learn: Learning to Recover and Plan Again, a hybrid planning and learning method, to tackle the problem of adapting to sudden and unexpected changes in an agent's environment (i.e., novelties). RAPid-Learn is designed to formulate an
Externí odkaz:
http://arxiv.org/abs/2206.12493
Qualitative causal relationships compactly express the direction, dependency, temporal constraints, and monotonicity constraints of discrete or continuous interactions in the world. In everyday or academic language, we may express interactions betwee
Externí odkaz:
http://arxiv.org/abs/2202.11768
Symbolic planning models allow decision-making agents to sequence actions in arbitrary ways to achieve a variety of goals in dynamic domains. However, they are typically handcrafted and tend to require precise formulations that are not robust to huma
Externí odkaz:
http://arxiv.org/abs/2012.13037
HRI researchers have made major strides in developing robotic architectures that are capable of reading a limited set of social cues and producing behaviors that enhance their likeability and feeling of comfort amongst humans. However, the cues in th
Externí odkaz:
http://arxiv.org/abs/1902.01320
In this paper we describe moral quasi-dilemmas (MQDs): situations similar to moral dilemmas, but in which an agent is unsure whether exploring the plan space or the world may reveal a course of action that satisfies all moral requirements. We argue t
Externí odkaz:
http://arxiv.org/abs/1807.02572
Autor:
Sarathy, Vasanth, Scheutz, Matthias
Current measures of machine intelligence are either difficult to evaluate or lack the ability to test a robot's problem-solving capacity in open worlds. We propose a novel evaluation framework based on the formal notion of MacGyver Test which provide
Externí odkaz:
http://arxiv.org/abs/1704.08350
Collaborative human activities are grounded in social and moral norms, which humans consciously and subconsciously use to guide and constrain their decision-making and behavior, thereby strengthening their interactions and preventing emotional and ph
Externí odkaz:
http://arxiv.org/abs/1602.03814