Search Results for author:
Found 11 papers, 2 papers with code
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
This report describes our winning submission to the Real Robot Challenge (https://real-robot-challenge. com/).
Active Policy Improvement from Multiple Black-box Oracles
We introduce MAPS and MAPS-SE, a class of policy improvement algorithms that perform imitation learning from multiple suboptimal oracles.
Bib2vec: An Embedding-based Search System for Bibliographic Information
We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility.
Bib2vec: Embedding-based Search System for Bibliographic Information
We propose a novel embedding model that represents relationships among several elements in bibliographic information with high representation ability and flexibility.
UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
In this paper we describe our 2nd place FEVER shared-task system that achieved a FEVER score of 62. 52{\%} on the provisional test set (without additional human evaluation), and 65. 41{\%} on the development set.
Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman
In this work we perform a controlled study of human language use in a competitive team-based game, and search for useful lessons for structuring communication protocol between autonomous agents.
Invariance Through Latent Alignment
A robot's deployment environment often involves perceptual changes that differ from what it has experienced during training.
To the Noise and Back: Diffusion for Shared Autonomy
Traditional approaches to shared autonomy rely on knowledge of the environment dynamics, a discrete space of user goals that is known a priori, or knowledge of the user's policy -- assumptions that are unrealistic in many domains.
Statler: State-Maintaining Language Models for Embodied Reasoning
In this paper, we explore a new dimension in which large language models may benefit robotics planning.
Blending Imitation and Reinforcement Learning for Robust Policy Improvement
Integral to RPI are Robust Active Policy Selection (RAPS) and Robust Policy Gradient (RPG), both of which reason over whether to perform state-wise imitation from the oracles or learn from its own value function when the learner's performance surpasses that of the oracles in a specific state.
6-DoF Stability Field via Diffusion Models
A core capability for robot manipulation is reasoning over where and how to stably place objects in cluttered environments.
