Recurrent World Models Facilitate Policy Evolution

4 September 2018

Papers citing "Recurrent World Models Facilitate Policy Evolution"

50 / 511 papers shown

Title
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 35 28 0 10 Feb 2022
Influence-Augmented Local Simulators: A Scalable Solution for Fast Deep RL in Large Networked Systems Miguel Suau Jinke He M. Spaan F. Oliehoek 30 4 0 03 Feb 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 32 4 0 20 Jan 2022
Bayesian sense of time in biological and artificial brains Z. Fountas Alexey Zakharov 35 0 0 14 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 26 15 0 01 Jan 2022
Do Androids Dream of Electric Fences? Safety-Aware Reinforcement Learning with Latent Shielding Peter He Borja G. Leon Francesco Belardinelli 8 9 0 21 Dec 2021
Towards Disturbance-Free Visual Mobile Manipulation Tianwei Ni Kiana Ehsani Luca Weihs Jordi Salvador 28 9 0 17 Dec 2021
Compositional Learning-based Planning for Vision POMDPs Sampada Deglurkar M. H. Lim Johnathan Tucker Zachary Sunberg Aleksandra Faust Claire Tomlin 48 4 0 17 Dec 2021
A Validation Tool for Designing Reinforcement Learning Environments Ruiyang Xu Zhengxing Chen OffRL 18 0 0 10 Dec 2021
Learning Generalizable Behavior via Visual Rewrite Rules Yiheng Xie Mingxuan Li Shangqun Yu Michael Littman DRL 19 1 0 09 Dec 2021
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations Henry M. Clever Ankur Handa H. Mazhar Kevin Parker Omer Shapira Qian Wan Yashraj S. Narang Iretiayo Akinola Maya Cakmak Dieter Fox 28 18 0 09 Dec 2021
Causal Imitative Model for Autonomous Driving Mohammad Reza Samsami Mohammadhossein Bahari Saber Salehkaleybar Alexandre Alahi CML 21 12 0 07 Dec 2021
ED2: Environment Dynamics Decomposition World Models for Continuous Control Jianye Hao Yifu Yuan Cong Wang Zhen Wang OffRL 16 1 0 06 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 58 417 0 30 Nov 2021
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 31 69 0 29 Nov 2021
Inducing Functions through Reinforcement Learning without Task Specification Junmo Cho Dong-hwan Lee Young-Gyu Yoon 25 2 0 23 Nov 2021
Fast and Data-Efficient Training of Rainbow: an Experimental Study on Atari Dominik Schmidt Thomas Schmied OffRL 28 12 0 19 Nov 2021
Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning Robin Schiewer Laurenz Wiskott 9 3 0 15 Nov 2021
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning Dhruv Shah Peng Xu Yao Lu Ted Xiao Alexander Toshev Sergey Levine Brian Ichter OffRL 37 41 0 04 Nov 2021
Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution Irving G. B. Petrazzini Eric A. Antonelo OffRL 14 12 0 03 Nov 2021
Model-Based Episodic Memory Induces Dynamic Hybrid Controls Hung Le Thommen George Karimpanal Majid Abdolshah T. Tran Svetha Venkatesh 30 19 0 03 Nov 2021
Procedural Generalization by Planning with Self-Supervised World Models Ankesh Anand Jacob Walker Yazhe Li Eszter Vértes Julian Schrittwieser Sherjil Ozair T. Weber Jessica B. Hamrick 31 31 0 02 Nov 2021
Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics Matthias Weissenbacher Samarth Sinha Animesh Garg Yoshinobu Kawahara OffRL 30 21 0 02 Nov 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 29 62 0 27 Oct 2021
Multitask Adaptation by Retrospective Exploration with Learned World Models Artem Zholus Aleksandr I. Panov CLL 27 0 0 25 Oct 2021
Common Information based Approximate State Representations in Multi-Agent Reinforcement Learning Shitao Xiao V. Subramanian 29 9 0 25 Oct 2021
A Simple Approach to Continual Learning by Transferring Skill Parameters K.R. Zentner Ryan Julian Ujjwal Puri Yulun Zhang Gaurav Sukhatme CLL 37 3 0 19 Oct 2021
Planning from Pixels in Environments with Combinatorially Hard Search Spaces Marco Bagatella Miroslav Olsák Michal Rolínek Georg Martius OffRL 23 6 0 12 Oct 2021
Neural Algorithmic Reasoners are Implicit Planners Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic OffRL 37 23 0 11 Oct 2021
Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs Tianwei Ni Benjamin Eysenbach Ruslan Salakhutdinov 26 103 0 11 Oct 2021
The Information Geometry of Unsupervised Reinforcement Learning Benjamin Eysenbach Ruslan Salakhutdinov Sergey Levine SSL OffRL 61 31 0 06 Oct 2021
Dropout's Dream Land: Generalization from Learned Simulators to Reality Zac Wellmer James T. Kwok SyDa 24 9 0 17 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 37 13 0 16 Sep 2021
A Temporal Variational Model for Story Generation David Wilmot Frank Keller DRL 35 8 0 14 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning Yujin Tang David R Ha 24 75 0 07 Sep 2021
Implicit Behavioral Cloning Peter R. Florence Corey Lynch Andy Zeng Oscar Ramirez Ayzaan Wahid Laura Downs Adrian S. Wong Johnny Lee Igor Mordatch Jonathan Tompson OffRL 74 369 0 01 Sep 2021
Continual learning under domain transfer with sparse synaptic bursting Shawn L. E. Beaulieu Jeff Clune Nick Cheney CLL OOD 27 1 0 26 Aug 2021
Mapless Humanoid Navigation Using Learned Latent Dynamics André Brandenburger Diego Rodriguez Sven Behnke 30 1 0 09 Aug 2021
Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? Balázs Kégl Gabriel Hurtado Albert Thomas 17 12 0 24 Jul 2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning Peide Cai Hengli Wang Huaiyang Huang Yuxuan Liu Ming Liu 25 64 0 18 Jul 2021
High-Accuracy Model-Based Reinforcement Learning, a Survey Aske Plaat W. Kosters Mike Preuss OffRL 27 37 0 17 Jul 2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents Andrea Dittadi Frederik Trauble M. Wuthrich Felix Widmaier Peter V. Gehler Ole Winther Francesco Locatello Olivier Bachem Bernhard Schölkopf Stefan Bauer OOD 41 16 0 12 Jul 2021
Active Divergence with Generative Deep Learning -- A Survey and Taxonomy Terence Broad Sebastian Berns S. Colton M. Grierson AI4CE 24 22 0 12 Jul 2021
Backprop-Free Reinforcement Learning with Active Neural Generative Coding Alexander Ororbia A. Mali 41 15 0 10 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 36 111 0 07 Jul 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making S. Reddy Anca Dragan Sergey Levine OffRL 44 13 0 07 Jul 2021
AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning Erdun Gao Fan Feng Chaochao Lu Sara Magliacane Kun Zhang 44 66 0 06 Jul 2021
SCOD: Active Object Detection for Embodied Agents using Sensory Commutativity of Action Sequences Hugo Caselles-Dupré Michael Garcia-Ortiz David Filliat 19 0 0 05 Jul 2021
Reinforcement Learning for Feedback-Enabled Cyber Resilience Yunhan Huang Linan Huang Quanyan Zhu 16 67 0 02 Jul 2021