Grounded Language Learning Fast and Slow

3 September 2020

Papers citing "Grounded Language Learning Fast and Slow"

22 / 22 papers shown

Title
HI-TOM: A Benchmark for Evaluating Higher-Order Theory of Mind Reasoning in Large Language Models Yinghui He Yufan Wu Yilin Jia Rada Mihalcea Yulong Chen Naihao Deng LRM LLMAG 38 24 0 25 Oct 2023
A Reminder of its Brittleness: Language Reward Shaping May Hinder Learning for Instruction Following Agents Sukai Huang N. Lipovetzky Trevor Cohn 38 2 0 26 May 2023
Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning Wenhao Li Dan Qiao Baoxiang Wang Xiangfeng Wang Bo Jin H. Zha 46 5 0 18 May 2023
The Vector Grounding Problem Dimitri Coelho Mollo Raphael Milliere 44 26 0 04 Apr 2023
Towards Learning Abstractions via Reinforcement Learning Erik Jergéus Leo Karlsson Oinonen Emil Carlsson Moa Johansson AI4CE 21 2 0 28 Dec 2022
VIMA: General Robot Manipulation with Multimodal Prompts Yunfan Jiang Agrim Gupta Zichen Zhang Guanzhi Wang Yongqiang Dou Yanjun Chen Li Fei-Fei Anima Anandkumar Yuke Zhu Linxi Fan LM&Ro 38 338 0 06 Oct 2022
Interactive Visual Reasoning under Uncertainty Manjie Xu Guangyuan Jiang Wei Liang Song-Chun Zhu Yixin Zhu LRM 47 5 0 18 Jun 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning Aniket Didolkar Kshitij Gupta Anirudh Goyal Nitesh B. Gundavarapu Alex Lamb Nan Rosemary Ke Yoshua Bengio AI4CE 121 17 0 30 May 2022
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma Weili Nie Zhiding Yu Huaizu Jiang Chaowei Xiao Yuke Zhu Song-Chun Zhu Anima Anandkumar ViT LRM 30 19 0 24 Apr 2022
Data Distributional Properties Drive Emergent In-Context Learning in Transformers Stephanie C. Y. Chan Adam Santoro Andrew Kyle Lampinen Jane X. Wang Aaditya K. Singh Pierre Harvey Richemond J. Mcclelland Felix Hill 79 247 0 22 Apr 2022
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics Frank Röder Manfred Eppe S. Wermter 32 7 0 08 Apr 2022
Zipfian environments for Reinforcement Learning Stephanie C. Y. Chan Andrew Kyle Lampinen Pierre Harvey Richemond Felix Hill OffRL 15 15 0 15 Mar 2022
Combining Modular Skills in Multitask Learning Edoardo Ponti Alessandro Sordoni Yoshua Bengio Siva Reddy MoE 17 37 0 28 Feb 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 29 12 0 02 Jan 2022
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications Borja G. Leon Murray Shanahan Francesco Belardinelli AI4CE 26 15 0 18 Oct 2021
Robotic Occlusion Reasoning for Efficient Object Existence Prediction Mengdi Li C. Weber Matthias Kerzel Jae Hee Lee Zheni Zeng Zhiyuan Liu S. Wermter 24 7 0 26 Jul 2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents Andrew Kyle Lampinen Stephanie C. Y. Chan Andrea Banino Felix Hill 24 47 0 28 May 2021
Grounding Language to Entities and Dynamics for Generalization in Reinforcement Learning H. Wang Victor Zhong Karthik Narasimhan 81 54 0 19 Jan 2021
Emergent Symbols through Binding in External Memory Taylor Webb I. Sinha Jonathan Cohen 67 65 0 29 Dec 2020
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs Emanuele Bugliarello Ryan Cotterell Naoaki Okazaki Desmond Elliott 35 119 0 30 Nov 2020
Systematic Generalisation through Task Temporal Logic and Deep Reinforcement Learning Borja G. Leon Murray Shanahan Francesco Belardinelli NAI AI4CE 31 28 0 12 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 466 11,715 0 09 Mar 2017