Shaping Belief States with Generative Environment Models for RL

21 June 2019

Karol Gregor

Danilo Jimenez Rezende

Papers citing "Shaping Belief States with Generative Environment Models for RL"

36 / 86 papers shown

Title
Muesli: Combining Improvements in Policy Optimization Matteo Hessel Ivo Danihelka Fabio Viola A. Guez Simon Schmitt Laurent Sifre T. Weber David Silver H. V. Hasselt 24 66 0 13 Apr 2021
How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? Jingxi Xu Bruce D. Lee Nikolai Matni Dinesh Jayaraman 105 6 0 02 Apr 2021
A Whole Brain Probabilistic Generative Model: Toward Realizing Cognitive Architectures for Developmental Robots T. Taniguchi Hiroshi Yamakawa Takayuki Nagai Kenji Doya M. Sakagami Masahiro Suzuki Tomoaki Nakamura Akira Taniguchi 28 23 0 15 Mar 2021
Towards Causal Representation Learning Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio OOD CML AI4CE 43 318 0 22 Feb 2021
Learning State Representations from Random Deep Action-conditional Predictions Zeyu Zheng Vivek Veeriah Risto Vuorio Richard L. Lewis Satinder Singh 20 5 0 09 Feb 2021
Environment Predictive Coding for Embodied Agents Santhosh Kumar Ramakrishnan Tushar Nagarajan Ziad Al-Halah Kristen Grauman 8 14 0 03 Feb 2021
Neural Recursive Belief States in Multi-Agent Reinforcement Learning Pol Moreno Edward Hughes Kevin R. McKee Bernardo Avila-Pires T. Weber 31 21 0 03 Feb 2021
Attention over learned object embeddings enables complex visual reasoning David Ding Felix Hill Adam Santoro Malcolm Reynolds M. Botvinick OCL 22 69 0 15 Dec 2020
Using Unity to Help Solve Intelligence Tom Ward Andrew Bolt Nik Hemmings Simon Carter Manuel Sanchez ... Jay Lemmon J. Coe Piotr Trochim T. Handley Adrian Bolton 24 18 0 18 Nov 2020
Instance based Generalization in Reinforcement Learning Martín Bertrán Natalia Martínez Mariano Phielipp Guillermo Sapiro OffRL 29 16 0 02 Nov 2020
Generative Neurosymbolic Machines Jindong Jiang Sungjin Ahn BDL OCL 225 68 0 23 Oct 2020
Dream and Search to Control: Latent Space Planning for Continuous Control Anurag Koul Varun V. Kumar Alan Fern Somdeb Majumdar 19 6 0 19 Oct 2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban Peter Karkus M. Berk Mirza A. Guez Andrew Jaegle Timothy Lillicrap Lars Buesing N. Heess T. Weber OffRL 22 8 0 03 Oct 2020
Physically Embedded Planning Problems: New Challenges for Reinforcement Learning M. Berk Mirza Andrew Jaegle Jonathan J. Hunt A. Guez S. Tunyasuvunakool ... Peter Karkus S. Racanière Lars Buesing Timothy Lillicrap N. Heess AI4CE 31 12 0 11 Sep 2020
Action and Perception as Divergence Minimization Danijar Hafner Pedro A. Ortega Jimmy Ba Thomas Parr Karl J. Friston N. Heess 27 52 0 03 Sep 2020
Grounded Language Learning Fast and Slow Felix Hill O. Tieleman Tamara von Glehn Nathaniel Wong Hamza Merzic S. Clark LM&Ro 31 77 0 03 Sep 2020
Amortized learning of neural causal representations Nan Rosemary Ke Jane X. Wang Jovana Mitrović M. Szummer Danilo Jimenez Rezende CML BDL 22 17 0 21 Aug 2020
Goal-Aware Prediction: Learning to Model What Matters Suraj Nair Silvio Savarese Chelsea Finn 36 64 0 14 Jul 2020
Auxiliary Tasks Speed Up Learning PointGoal Navigation Joel Ye Dhruv Batra Erik Wijmans Abhishek Das 3DPC EgoV 17 79 0 09 Jul 2020
What can I do here? A Theory of Affordances in Reinforcement Learning Khimya Khetarpal Zafarali Ahmed Gheorghe Comanici David Abel Doina Precup 10 54 0 26 Jun 2020
Neural Physicist: Learning Physical Dynamics from Image Sequences Baocheng Zhu Shijun Wang James Y. Zhang AI4CE 11 1 0 09 Jun 2020
Rapid Task-Solving in Novel Environments Samuel Ritter Ryan Faulkner Laurent Sartran Adam Santoro M. Botvinick David Raposo 19 29 0 05 Jun 2020
Probing Emergent Semantics in Predictive Agents via Question Answering Abhishek Das Federico Carnevale Hamza Merzic Laura Rimell R. Schneider ... Alden Hung Arun Ahuja S. Clark Greg Wayne Felix Hill 40 18 0 01 Jun 2020
Mutual Information Maximization for Robust Plannable Representations Yiming Ding I. Clavera Pieter Abbeel 19 15 0 16 May 2020
Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning Z. Guo Bernardo Avila-Pires Bilal Piot Jean-Bastien Grill Florent Altché Rémi Munos M. G. Azar BDL DRL SSL 43 139 0 30 Apr 2020
Neural Game Engine: Accurate learning of generalizable forward models from pixels Chris Bamford Simon Lucas OCL 6 11 0 23 Mar 2020
Finding online neural update rules by learning to remember Karol Gregor CLL 39 6 0 06 Mar 2020
Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations Xiao Ma Peter Karkus David Hsu W. Lee N. Ye OffRL 17 42 0 23 Feb 2020
The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence G. Marcus VLM 32 355 0 14 Feb 2020
Causally Correct Partial Models for Reinforcement Learning Danilo Jimenez Rezende Ivo Danihelka George Papamakarios Nan Rosemary Ke Ray Jiang ... Jane X. Wang Jovana Mitrović F. Besse Ioannis Antonoglou Lars Buesing AI4TS 24 32 0 07 Feb 2020
Product Kanerva Machines: Factorized Bayesian Memory Adam H. Marblestone Yongpeng Wu Greg Wayne 22 9 0 06 Feb 2020
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 19 2 0 09 Dec 2019
Dream to Control: Learning Behaviors by Latent Imagination Danijar Hafner Timothy Lillicrap Jimmy Ba Mohammad Norouzi VLM 37 1,306 0 03 Dec 2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations Martin Engelcke Adam R. Kosiorek Oiwi Parker Jones Ingmar Posner OCL 20 304 0 30 Jul 2019
Towards Model-based Reinforcement Learning for Industry-near Environments Per-Arne Andersen M. G. Olsen Ole-Christoffer Granmo OffRL DRL 22 4 0 27 Jul 2019
Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model Alex X. Lee Anusha Nagabandi Pieter Abbeel Sergey Levine OffRL BDL 33 372 0 01 Jul 2019