BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning
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Thien Huu Nguyen | Yoshua Bengio | Dzmitry Bahdanau | Maxime Chevalier-Boisvert | Salem Lahlou | L. Willems | Chitwan Saharia | Lucas Willems
[1] Pushmeet Kohli,et al. Learning to Understand Goal Specifications by Modelling Reward , 2018, ICLR.
[2] Pushmeet Kohli,et al. Learning to Follow Language Instructions with Adversarial Reward Induction , 2018, ArXiv.
[3] Stefanie Tellex,et al. Learning to Parse Natural Language to Grounded Reward Functions with Weak Supervision , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[4] Shane Legg,et al. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures , 2018, ICML.
[5] Yuandong Tian,et al. Building Generalizable Agents with a Realistic and Rich 3D Environment , 2018, ICLR.
[6] Ali Farhadi,et al. AI2-THOR: An Interactive 3D Environment for Visual AI , 2017, ArXiv.
[7] Qi Wu,et al. Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Aaron C. Courville,et al. FiLM: Visual Reasoning with a General Conditioning Layer , 2017, AAAI.
[9] Peter Stone,et al. Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces , 2017, AAAI.
[10] Alec Radford,et al. Proximal Policy Optimization Algorithms , 2017, ArXiv.
[11] Ruslan Salakhutdinov,et al. Gated-Attention Architectures for Task-Oriented Language Grounding , 2017, AAAI.
[12] Demis Hassabis,et al. Grounded Language Learning in a Simulated 3D World , 2017, ArXiv.
[13] Shane Legg,et al. Deep Reinforcement Learning from Human Preferences , 2017, NIPS.
[14] Sergio Gomez Colmenarejo,et al. Hybrid computing using a neural network with dynamic external memory , 2016, Nature.
[15] Quoc V. Le,et al. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation , 2016, ArXiv.
[16] Christopher D. Manning,et al. Learning Language Games through Interaction , 2016, ACL.
[17] Wojciech Jaskowski,et al. ViZDoom: A Doom-based AI research platform for visual reinforcement learning , 2016, 2016 IEEE Conference on Computational Intelligence and Games (CIG).
[18] Rob Fergus,et al. MazeBase: A Sandbox for Learning from Games , 2015, ArXiv.
[19] Nando de Freitas,et al. Neural Programmer-Interpreters , 2015, ICLR.
[20] Dan Klein,et al. Neural Module Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Matthew R. Walter,et al. Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences , 2015, AAAI.
[22] Sergey Levine,et al. High-Dimensional Continuous Control Using Generalized Advantage Estimation , 2015, ICLR.
[23] Jason Weston,et al. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks , 2015, ICLR.
[24] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[25] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[26] Wojciech Zaremba,et al. Learning to Execute , 2014, ArXiv.
[27] Quoc V. Le,et al. Sequence to Sequence Learning with Neural Networks , 2014, NIPS.
[28] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[29] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[30] Luke S. Zettlemoyer,et al. Weakly Supervised Learning of Semantic Parsers for Mapping Instructions to Actions , 2013, TACL.
[31] Alan Fern,et al. A Bayesian Approach for Policy Learning from Trajectory Preference Queries , 2012, NIPS.
[32] Marc G. Bellemare,et al. The Arcade Learning Environment: An Evaluation Platform for General Agents , 2012, J. Artif. Intell. Res..
[33] Raymond J. Mooney,et al. Learning to Interpret Natural Language Navigation Instructions from Observations , 2011, Proceedings of the AAAI Conference on Artificial Intelligence.
[34] Matthew R. Walter,et al. Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation , 2011, AAAI.
[35] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[36] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[37] Geoffrey J. Gordon,et al. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , 2010, AISTATS.
[38] Jason Weston,et al. Curriculum learning , 2009, ICML '09.
[39] John Langford,et al. Search-based structured prediction , 2009, Machine Learning.
[40] Brian D. Ziebart,et al. Maximum Entropy Inverse Reinforcement Learning , 2008, AAAI.
[41] Benjamin Kuipers,et al. Walk the Talk: Connecting Language, Knowledge, and Action in Route Instructions , 2006, AAAI.
[42] Christopher K. I. Williams,et al. Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) , 2005 .
[43] Andrew Howard,et al. Design and use paradigms for Gazebo, an open-source multi-robot simulator , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).
[44] S. Hochreiter,et al. Long Short-Term Memory , 1997, Neural Computation.