Playing FPS Games with Deep Reinforcement Learning G Lample*, DS Chaplot* 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA., 2016 | 501 | 2016 |
On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018 | 334 | 2018 |
Gated-Attention Architectures for Task-Oriented Language Grounding DS Chaplot, K Mysore Sathyendra, RK Pasumarthi, D Rajagopal, ... 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA, 2018 | 220* | 2018 |
Learning to Explore using Active Neural SLAM DS Chaplot, D Gandhi, S Gupta, A Gupta, R Salakhutdinov International Conference on Learning Representations, 2020 | 183 | 2020 |
Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks DS Chaplot, E Rhim, J Kim Proceedings of 17th International Conference on Artificial Intelligence in …, 2015 | 126 | 2015 |
Object Goal Navigation using Goal-Oriented Semantic Exploration DS Chaplot, DP Gandhi, A Gupta, RR Salakhutdinov Advances in Neural Information Processing Systems 33, 2020 | 116 | 2020 |
Neural Topological SLAM for Visual Navigation DS Chaplot, R Salakhutdinov, A Gupta, S Gupta Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 100 | 2020 |
Knowledge-based Word Sense Disambiguation using Topic Models DS Chaplot, R Salakhutdinov 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA., 2018 | 80 | 2018 |
Active Neural Localization DS Chaplot, E Parisotto, R Salakhutdinov 6th International Conference on Learning Representations (ICLR-18 …, 2018 | 75 | 2018 |
Global pose estimation with an attention-based recurrent network E Parisotto*, DS Chaplot*, J Zhang, R Salakhutdinov Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 65 | 2018 |
Gated path planning networks L Lee, E Parisotto, DS Chaplot, E Xing, R Salakhutdinov ICML 2018, 2018 | 64* | 2018 |
Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Advances in Neural Information Processing Systems 34, 2021 | 46 | 2021 |
Unsupervised Word Sense Disambiguation Using Markov Random Field and Dependency Parser. DS Chaplot, P Bhattacharyya, A Paranjape 29th AAAI Conference on Artificial Intelligence (AAAI-15), 2217-2223, 2015 | 46 | 2015 |
Transfer Deep Reinforcement Learning in 3D Environments: An Empirical Study DS Chaplot, G Lample, KM Sathyendra, R Salakhutdinov 30th Annual Conference on Neural Information Processing Systems (NIPS-16 …, 2016 | 38* | 2016 |
Data-driven Automated Induction of Prerequisite Structure Graphs DS Chaplot, Y Yang, J Carbonell, KR Koedinger 9th International Conference on Educational Data Mining (EDM 2016), 2016 | 29 | 2016 |
Arnold: An Autonomous Agent to play FPS Games DS Chaplot*, G Lample* 31st AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, USA., 2017 | 26 | 2017 |
Semantic curiosity for active visual learning DS Chaplot, H Jiang, S Gupta, A Gupta European Conference on Computer Vision, 309-326, 2020 | 25 | 2020 |
Embodied multimodal multitask learning DS Chaplot, L Lee, R Salakhutdinov, D Parikh, D Batra arXiv preprint arXiv:1902.01385, 2019 | 25 | 2019 |
Personalized adaptive learning using neural networks DS Chaplot, E Rhim, J Kim Proceedings of the third (2016) ACM conference on learning@ scale, 165-168, 2016 | 20 | 2016 |
Comparing Model Comparison Methods H Schultheis, A Singhaniya, DS Chaplot Proceedings of the 35th annual conference of the Cognitive Science Society …, 2013 | 18 | 2013 |