Search Results for author: Minae Kwon

Found 9 papers, 5 papers with code

Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections

1 code implementation17 Nov 2023 Lihan Zha, Yuchen Cui, Li-Heng Lin, Minae Kwon, Montserrat Gonzalez Arenas, Andy Zeng, Fei Xia, Dorsa Sadigh

DROC is able to respond to a sequence of online language corrections that address failures in both high-level task plans and low-level skill primitives.

Language Modelling Large Language Model +1

Toward Grounded Commonsense Reasoning

no code implementations14 Jun 2023 Minae Kwon, Hengyuan Hu, Vivek Myers, Siddharth Karamcheti, Anca Dragan, Dorsa Sadigh

We additionally illustrate our approach with a robot on 2 carefully designed surfaces.

Language Modelling

Reward Design with Language Models

1 code implementation27 Feb 2023 Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh

During training, the LLM evaluates an RL agent's behavior against the desired behavior described by the prompt and outputs a corresponding reward signal.

Language Modelling Large Language Model +1

Evaluating Human-Language Model Interaction

1 code implementation19 Dec 2022 Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael Bernstein, Percy Liang

To evaluate human-LM interaction, we develop a new framework, Human-AI Language-based Interaction Evaluation (HALIE), that defines the components of interactive systems and dimensions to consider when designing evaluation metrics.

Language Modelling Question Answering

Targeted Data Acquisition for Evolving Negotiation Agents

no code implementations14 Jun 2021 Minae Kwon, Siddharth Karamcheti, Mariano-Florentino Cuellar, Dorsa Sadigh

This trend additionally holds when comparing agents using our targeted data acquisition framework to variants of agents trained with a mix of supervised learning and reinforcement learning, or to agents using tailored reward functions that explicitly optimize for utility and Pareto-optimality.

reinforcement-learning Reinforcement Learning (RL)

Transfer Reinforcement Learning across Homotopy Classes

no code implementations10 Feb 2021 Zhangjie Cao, Minae Kwon, Dorsa Sadigh

The ability for robots to transfer their learned knowledge to new tasks -- where data is scarce -- is a fundamental challenge for successful robot learning.

Transfer Reinforcement Learning Robotics

When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans

no code implementations13 Jan 2020 Minae Kwon, Erdem Biyik, Aditi Talati, Karan Bhasin, Dylan P. Losey, Dorsa Sadigh

Overall, we extend existing rational human models so that collaborative robots can anticipate and plan around suboptimal human behavior during HRI.

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