Papers citing "DeepMind Lab"

50 / 146 papers shown

Title
KARST: Multi-Kernel Kronecker Adaptation with Re-Scaling Transmission for Visual Classification Yue Zhu Haiwen Diao Shang Gao Long Chen Huchuan Lu 89 0 0 10 Feb 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 82 1 0 16 Dec 2024
AMaze: An intuitive benchmark generator for fast prototyping of generalizable agents Kevin Godin-Dubois Karine Miras Anna V. Kononova 76 0 0 20 Nov 2024
World Models: The Safety Perspective Zifan Zeng Chongzhe Zhang Feng Liu Joseph Sifakis Qunli Zhang Shiming Liu Peng Wang KELM LLMAG 47 1 0 12 Nov 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments Mariusz Wisniewski Paraskevas Chatzithanos Weisi Guo Antonios Tsourdos 38 3 0 18 Oct 2024
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning Shibo Jie Yehui Tang Jianyuan Guo Zhi-Hong Deng Kai Han Yunhe Wang VLM 41 4 0 13 Aug 2024
A Review of Nine Physics Engines for Reinforcement Learning Research Michael Kaup Cornelius Wolff Hyerim Hwang Julius Mayer Elia Bruni AI4CE 45 5 0 11 Jul 2024
Revisiting semi-supervised training objectives for differentiable particle filters Jiaxi Li John-Joseph Brady Xiongjie Chen Yunpeng Li 28 1 0 02 May 2024
SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision Ankit Vani Bac Nguyen Samuel Lavoie Ranjay Krishna Aaron Courville 39 1 0 24 Apr 2024
iDAT: inverse Distillation Adapter-Tuning Jiacheng Ruan Jingsheng Gao Mingye Xie Daize Dong Suncheng Xiang Ting Liu Yuzhuo Fu 54 1 0 23 Mar 2024
PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation Yizhe Xiong Hui Chen Tianxiang Hao Zijia Lin Jungong Han Yuesong Zhang Guoxin Wang Yongjun Bao Guiguang Ding 51 17 0 14 Mar 2024
Decision Theory-Guided Deep Reinforcement Learning for Fast Learning Zelin Wan Jin-Hee Cho Mu Zhu Ahmed H. Anwar Charles A. Kamhoua Munindar P. Singh AI4CE 23 0 0 08 Feb 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning Zhi Zhang Qizhe Zhang Zijun Gao Renrui Zhang Ekaterina Shutova Shiji Zhou Shanghang Zhang 33 15 0 15 Dec 2023
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning Qizhe Zhang Bocheng Zou Ruichuan An Jiaming Liu Shanghang Zhang MoE 29 2 0 05 Dec 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels Henry Hengyuan Zhao Pichao Wang Yuyang Zhao Hao Luo F. Wang Mike Zheng Shou ViT 37 14 0 15 Sep 2023
ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning L. Du Min Chen Mingyang Sun Shouling Ji Peng Cheng Jiming Chen Zhikun Zhang OffRL 48 8 0 06 Sep 2023
SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores Zhiyu Mei Wei Fu Jiaxuan Gao Guang Wang Huanchen Zhang Yi Wu OffRL LRM 40 5 0 29 Jun 2023
PVP: Pre-trained Visual Parameter-Efficient Tuning Zhao Song Ke Yang Naiyang Guan Junjie Zhu Peng Qiao Qingyong Hu VPVLM VLM 35 3 0 26 Apr 2023
Games for Artificial Intelligence Research: A Review and Perspectives Chengpeng Hu Yunlong Zhao Ziqi Wang Haocheng Du Jialin Liu AI4CE 35 13 0 26 Apr 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 28 3 0 13 Mar 2023
CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems Sagar Patel Sangeetha Abdu Jyothi Nina Narodytska OffRL 13 0 0 27 Feb 2023
Graph schemas as abstractions for transfer learning, inference, and planning J. S. Guntupalli Rajkumar Vasudeva Raju Shrinu Kushagra Carter Wendelken Daniel P. Sawyer Ishani Deshpande Guangyao Zhou Miguel Lazaro-Gredilla Dileep George 42 9 0 14 Feb 2023
NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning Haoran Li Shasha Liu Mingjun Ma Guangzheng Hu Yaran Chen Dong Zhao 27 3 0 07 Feb 2023
On Transforming Reinforcement Learning by Transformer: The Development Trajectory Shengchao Hu Li Shen Ya Zhang Yixin Chen Dacheng Tao OffRL 27 25 0 29 Dec 2022
Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds Joshua Albrecht Abraham J. Fetterman Bryden Fogelman Ellie Kitanidis Bartosz Wróblewski ... Michael Rosenthal Maksis Knutins Zachary Polizzi James B. Simon Kanjun Qiu OffRL 29 23 0 24 Oct 2022
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit Per-Arne Andersen Morten Goodwin Ole-Christoffer Granmo 21 0 0 03 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 34 5 0 21 Sep 2022
Trust in Language Grounding: a new AI challenge for human-robot teams David M. Bossens C. Evers 42 1 0 05 Sep 2022
Learning to Generalize with Object-centric Agents in the Open World Survival Game Crafter Aleksandar Stanić Yujin Tang David R Ha Jürgen Schmidhuber ELM 29 13 0 05 Aug 2022
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity Sam Spilsbury Alexander Ilin 16 7 0 06 Jul 2022
A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers Julio A. Placed Jared Strader Henry Carrillo Nikolay Atanasov Vadim Indelman Luca Carlone J. A. Castellanos 27 177 0 01 Jul 2022
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation Chengyang Ying You Qiaoben Xinning Zhou Hang Su Wenbo Ding Jianyong Ai AAML 32 11 0 12 Jun 2022
Mask Atari for Deep Reinforcement Learning as POMDP Benchmarks Yang Shao Quan Kong Tadayuki Matsumura Taiki Fuji Kiyoto Ito Hiroyuki Mizuno 22 6 0 31 Mar 2022
Dealing with Sparse Rewards Using Graph Neural Networks Matvey Gerasyov Ilya Makarov 24 2 0 25 Mar 2022
Visual Prompt Tuning Menglin Jia Luming Tang Bor-Chun Chen Claire Cardie Serge Belongie Bharath Hariharan Ser-Nam Lim VLM VPVLM 40 1,538 0 23 Mar 2022
The Health Gym: Synthetic Health-Related Datasets for the Development of Reinforcement Learning Algorithms N. Kuo Mark Polizzotto S. Finfer Federico Garcia Anders Sönnerborg Maurizio Zazzi Michael Böhm Louisa R Jorm S. Barbieri OOD 38 29 0 12 Mar 2022
Graph augmented Deep Reinforcement Learning in the GameRLand3D environment E. Beeching Maxim Peter Philippe Marcotte Jilles Debangoye Olivier Simonin Joshua Romoff Christian Wolf 16 5 0 22 Dec 2021
Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma Kelvin Xu Nikhil Sardana Abhishek Gupta Karol Hausman Sergey Levine Chelsea Finn OffRL 60 26 0 17 Dec 2021
Godot Reinforcement Learning Agents E. Beeching Jilles Debangoye Olivier Simonin Christian Wolf GP OnRL 24 5 0 07 Dec 2021
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents Sam Powers Eliot Xing Eric Kolve Roozbeh Mottaghi Abhinav Gupta OffRL 36 38 0 19 Oct 2021
Messing Up 3D Virtual Environments: Transferable Adversarial 3D Objects Enrico Meloni Matteo Tiezzi Luca Pasqualini Marco Gori S. Melacci AAML 35 2 0 17 Sep 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 33 56 0 07 Sep 2021
Communicative Learning with Natural Gestures for Embodied Navigation Agents with Human-in-the-Scene Qi Wu Cheng-Ju Wu Yixin Zhu Jungseock Joo 43 14 0 05 Aug 2021
Teaching Agents how to Map: Spatial Reasoning for Multi-Object Navigation Pierre Marza L. Matignon Olivier Simonin Christian Wolf 42 23 0 13 Jul 2021
Core Challenges in Embodied Vision-Language Planning Jonathan M Francis Nariaki Kitamura Felix Labelle Xiaopeng Lu Ingrid Navarro Jean Oh LM&Ro 49 45 0 26 Jun 2021
Evolving Hierarchical Memory-Prediction Machines in Multi-Task Reinforcement Learning Stephen Kelly Tatiana Voegerl W. Banzhaf C. Gondro 45 13 0 23 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
Counter-Strike Deathmatch with Large-Scale Behavioural Cloning Tim Pearce Jun Zhu 35 417 0 09 Apr 2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI Chuang Gan Siyuan Zhou Jeremy Schwartz S. Alter Abhishek Bhandwaldar ... Daniel L. K. Yamins J. DiCarlo Josh H. McDermott Antonio Torralba J. Tenenbaum LM&Ro 35 76 0 25 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics Model Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 23 17 0 15 Mar 2021