Title
Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models Amir Mohammad Karimi Mamaghan Samuele Papa Karl Henrik Johansson Stefan Bauer Andrea Dittadi OCL 44 5 0 22 Jul 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 69 2 0 07 Jun 2024
Hybrid Search for Efficient Planning with Completeness Guarantees Kalle Kujanpää J. Pajarinen Alexander Ilin 24 3 0 19 Oct 2023
Reinforcement Learning with Knowledge Representation and Reasoning: A Brief Survey Chao Yu Xuejing Zheng H. Zhuo OffRL LRM 55 7 0 24 Apr 2023
Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration Chao Yu Xinyi Yang Jiaxuan Gao Jiayu Chen Yunfei Li ... Yunfei Xiang Rui Huang Huazhong Yang Yi Wu Yu Wang 30 34 0 09 Jan 2023
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data Roei Herzig Ofir Abramovich Elad Ben-Avraham Assaf Arbelle Leonid Karlinsky Ariel Shamir Trevor Darrell Amir Globerson 34 16 0 08 Dec 2022
Explainable Reinforcement Learning on Financial Stock Trading using SHAP Satyam Kumar Mendhikar Vishal V. Ravi AIFin 28 8 0 18 Aug 2022
GriddlyJS: A Web IDE for Reinforcement Learning C. Bamford Minqi Jiang Mikayel Samvelyan Tim Rocktaschel OnRL 36 4 0 13 Jul 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 28 26 0 22 Mar 2022
Policy Architectures for Compositional Generalization in Control Allan Zhou Vikash Kumar Chelsea Finn Aravind Rajeswaran 20 22 0 10 Mar 2022
Multi-UAV Conflict Resolution with Graph Convolutional Reinforcement Learning Ralvi Isufaj Marsel Omeri M. A. Piera 14 16 0 29 Nov 2021
Object-Region Video Transformers Roei Herzig Elad Ben-Avraham K. Mangalam Amir Bar Gal Chechik Anna Rohrbach Trevor Darrell Amir Globerson ViT 19 82 0 13 Oct 2021
Applying supervised and reinforcement learning methods to create neural-network-based agents for playing StarCraft II Michal Opanowicz 16 0 0 26 Sep 2021
Human-Level Reinforcement Learning through Theory-Based Modeling, Exploration, and Planning Pedro Tsividis J. Loula Jake Burga Nathan Foss Andres Campero Thomas Pouncy S. Gershman J. Tenenbaum LM&Ro 18 43 0 27 Jul 2021
Interpretable UAV Collision Avoidance using Deep Reinforcement Learning Deep Thomas Daniil Olshanskyi Karter Krueger Tichakorn Wongpiromsarn Ali Jannesari 11 5 0 25 May 2021
Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Cynthia Rudin Chaofan Chen Zhi Chen Haiyang Huang Lesia Semenova Chudi Zhong FaML AI4CE LRM 53 651 0 20 Mar 2021
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking Jiachen Li Hengbo Ma Zhihao Zhang Jinning Li M. Tomizuka 50 68 0 18 Feb 2021
Relational-Grid-World: A Novel Relational Reasoning Environment and An Agent Model for Relational Information Extraction Faruk Küçüksubasi Elif Surer 19 2 0 12 Jul 2020
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning Lingxiao Wang Zhuoran Yang Zhaoran Wang 24 26 0 21 Jun 2020
Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming Ali Payani Faramarz Fekri 21 18 0 23 Mar 2020
MEMO: A Deep Network for Flexible Combination of Episodic Memories Andrea Banino Adria Puigdomenech Badia Raphael Köster Martin Chadwick V. Zambaldi Demis Hassabis Caswell Barry M. Botvinick D. Kumaran Charles Blundell KELM 20 33 0 29 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 23 188 0 23 Dec 2019
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking Eric Crawford Joelle Pineau 44 66 0 20 Nov 2019
A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning Nicolas Carion Gabriel Synnaeve A. Lazaric Nicolas Usunier 18 28 0 19 Oct 2019
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking Xiaolong Jiang Peizhao Li Yanjing Li Xiantong Zhen VOT 26 32 0 11 Jul 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 8 312 0 13 Jun 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 25 2 0 30 May 2019
Neural Logic Reinforcement Learning Zhengyao Jiang Shan Luo NAI 19 71 0 24 Apr 2019
Clear the Fog: Combat Value Assessment in Incomplete Information Games with Convolutional Encoder-Decoders Hyungu Kahng Yonghyun Jung Y. Cho Gonie Ahn Youngjoon Park ... Iljoo Yoon HyunJae Lee Daehun Jun Changhyeon Bae S. Kim 6 1 0 30 Nov 2018
Graph Convolutional Reinforcement Learning Jiechuan Jiang Chen Dun Tiejun Huang Zongqing Lu GNN 11 335 0 22 Oct 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 14 209 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 91 3,077 0 04 Jun 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li-Jia Li Li Fei-Fei Abhinav Gupta LRM GNN 34 213 0 29 Mar 2018
Building machines that adapt and compute like brains Brenden Lake J. Tenenbaum AI4CE FedML NAI AILaw 254 890 0 11 Nov 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016