113 citations · 319 across the 38 of their papers we have counts for
3 papers · 1 filter
CAPE: Corrective Actions from Precondition Errors using Large Language Models
Shreyas Sundara Raman, Vanya Cohen, Ifrah Idrees +4
Extracting commonsense knowledge from a large language model (LLM) offers a path to designing intelligent robots. Existing approaches that leverage LLMs for planning are unable to…
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodriguez-Sanchez, Benjamin A. Spiegel, Jennifer Wang +3
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 decisio…
LTL-Transfer: Skill Transfer for Temporal Task Specification
Jason Xinyu Liu, Ankit Shah, Eric Rosen +3
Deploying robots in real-world environments, such as households and manufacturing lines, requires generalization across novel task specifications without violating safety constrain…