Learning to Play with Intrinsically-Motivated Self-Aware Agents

Learning to Play with Intrinsically-Motivated Self-Aware Agents

21 February 2018

Li Fei-Fei

Daniel L. K. Yamins

Papers citing "Learning to Play with Intrinsically-Motivated Self-Aware Agents"

16 / 16 papers shown

Title
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 21 117 0 08 Dec 2023
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning David Yunis Justin Jung Falcon Z. Dai Matthew R. Walter OffRL 39 0 0 08 Sep 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 24 8 0 26 Jan 2023
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors Gabriel H. Sarch Zhaoyuan Fang Adam W. Harley Paul Schydlo Michael J. Tarr Saurabh Gupta Katerina Fragkiadaki LM&Ro 21 45 0 21 Jul 2022
Shaping embodied agent behavior with activity-context priors from egocentric video Tushar Nagarajan Kristen Grauman EgoV LM&Ro 43 13 0 14 Oct 2021
OPEn: An Open-ended Physics Environment for Learning Without a Task Chuang Gan Abhishek Bhandwaldar Antonio Torralba J. Tenenbaum Phillip Isola LRM 133 4 0 13 Oct 2021
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration Oliver Groth Markus Wulfmeier Giulia Vezzani Vibhavari Dasagi Tim Hertweck Roland Hafner N. Heess Martin Riedmiller LRM 38 20 0 17 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 24 43 0 27 Jul 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 58 87 0 15 Jun 2021
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 30 43 0 28 Sep 2020
Planning to Explore via Self-Supervised World Models Ramanan Sekar Oleh Rybkin Kostas Daniilidis Pieter Abbeel Danijar Hafner Deepak Pathak SSL 22 397 0 12 May 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 44 185 0 21 Jan 2020
An Exploration of Embodied Visual Exploration Santhosh Kumar Ramakrishnan Dinesh Jayaraman Kristen Grauman LM&Ro 30 98 0 07 Jan 2020
World Discovery Models M. G. Azar Bilal Piot Bernardo Avila-Pires Jean-Bastien Grill Florent Altché Rémi Munos 18 26 0 20 Feb 2019
Amplifying the Imitation Effect for Reinforcement Learning of UCAV's Mission Execution G. Lee Chang Ouk Kim 8 4 0 17 Jan 2019
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 22 248 0 21 Jun 2018