Title
Deep Reinforcement Learning with Vector Quantized Encoding Liang Zhang Justin Lieffers A. Pyarelal OffRL 58 2 0 12 Nov 2022
Pretraining in Deep Reinforcement Learning: A Survey Zhihui Xie Zichuan Lin Junyou Li Shuai Li Deheng Ye OffRL OnRL AI4CE 87 23 0 08 Nov 2022
The Benefits of Model-Based Generalization in Reinforcement Learning K. Young Aditya A. Ramesh Louis Kirsch Jürgen Schmidhuber OffRL 95 13 0 04 Nov 2022
On Many-Actions Policy Gradient Michal Nauman Marek Cygan 70 0 0 24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 112 10 0 23 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 73 9 0 21 Oct 2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions Antonio Terpin Nicolas Lanzetti Batuhan Yardim Florian Dorfler Giorgia Ramponi 70 5 0 20 Oct 2022
Palm up: Playing in the Latent Manifold for Unsupervised Pretraining Hao Liu Tom Zahavy Volodymyr Mnih Satinder Singh SSL 120 7 0 19 Oct 2022
On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning Yifan Xu Nicklas Hansen Zirui Wang Yung-Chieh Chan H. Su Zhuowen Tu OffRL 81 17 0 19 Oct 2022
The Impact of Task Underspecification in Evaluating Deep Reinforcement Learning Vindula Jayawardana Catherine Tang Sirui Li Da Suo Cathy Wu OffRL 108 13 0 16 Oct 2022
Maximum entropy exploration in contextual bandits with neural networks and energy based models A. Elwood Marco Leonardi A. Mohamed A. Rozza 59 1 0 12 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 87 28 0 10 Oct 2022
On Neural Consolidation for Transfer in Reinforcement Learning Valentin Guillet Dennis G. Wilson Carlos Aguilar-Melchor Emmanuel Rachelson CLL 54 0 0 05 Oct 2022
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 93 22 0 04 Oct 2022
Learning Parsimonious Dynamics for Generalization in Reinforcement Learning Tankred Saanum Eric Schulz 58 1 0 29 Sep 2022
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 106 27 0 18 Sep 2022
Game-theoretic Objective Space Planning Hongrui Zheng Zhijun Zhuang Johannes Betz Rahul Mangharam 66 6 0 16 Sep 2022
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks Litian Liang Yaosheng Xu Stephen Marcus McAleer Dailin Hu Alexander Ihler Pieter Abbeel Roy Fox OOD 89 18 0 16 Sep 2022
Human-level Atari 200x faster Steven Kapturowski Victor Campos Ray Jiang Nemanja Rakićević Hado van Hasselt Charles Blundell Adria Puigdomenech Badia OffRL 96 30 0 15 Sep 2022
HARP: Autoregressive Latent Video Prediction with High-Fidelity Image Generator Younggyo Seo Kimin Lee Fangchen Liu Stephen James Pieter Abbeel VGen 70 29 0 15 Sep 2022
Using Forwards-Backwards Models to Approximate MDP Homomorphisms Augustine N. Mavor-Parker Matthew J. Sargent Christian Pehle Andrea Banino Lewis D. Griffin Caswell Barry 73 1 0 14 Sep 2022
Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters Soumyendu Sarkar Vineet Gundecha Sahand Ghorbanpour Alexander Shmakov Ashwin Ramesh Babu Alexandre Frederic Julien Pichard Mathieu Cocho 55 16 0 13 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization Nicholas A. Ketz Praveen K. Pilly OffRL 55 1 0 07 Sep 2022
On the Origins of Self-Modeling Robert Kwiatkowski Yuhang Hu Boyuan Chen Hod Lipson 64 4 0 05 Sep 2022
Variational Inference for Model-Free and Model-Based Reinforcement Learning Felix Leibfried OffRL 78 0 0 04 Sep 2022
Transformers are Sample-Efficient World Models Vincent Micheli Eloi Alonso Franccois Fleuret VLM OffRL 195 189 0 01 Sep 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review N. Botteghi M. Poel C. Brune SSL OffRL 105 13 0 27 Aug 2022
Light-weight probing of unsupervised representations for Reinforcement Learning Wancong Zhang Anthony GX-Chen Vlad Sobal Yann LeCun Nicolas Carion SSL OffRL 76 14 0 25 Aug 2022
Contrastive UCB: Provably Efficient Contrastive Self-Supervised Learning in Online Reinforcement Learning Shuang Qiu Lingxiao Wang Chenjia Bai Zhuoran Yang Zhaoran Wang SSL OffRL 143 32 0 29 Jul 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations Achkan Salehi Steffen Rühl Stéphane Doncieux AI4CE 90 2 0 25 Jul 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective Pietro Mazzaglia Tim Verbelen Ozan Çatal Bart Dhoedt DRL AI4CE 70 33 0 13 Jul 2022
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Yannis G. Kevrekidis Fei Lu Mauro Maggioni 44 2 0 12 Jul 2022
Multi-objective Optimization of Notifications Using Offline Reinforcement Learning Prakruthi Prabhakar Yiping Yuan Guangyu Yang Wensheng Sun A. Muralidharan OffRL 60 6 0 07 Jul 2022
Compositional Generalization in Grounded Language Learning via Induced Model Sparsity Sam Spilsbury Alexander Ilin 76 8 0 06 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 118 38 0 03 Jul 2022
Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles J. C. Jesus V. A. Kich A. H. Kolling Ricardo B. Grando R. S. Guerra P. Drews SSL 146 18 0 30 Jun 2022
Visual Foresight With a Local Dynamics Model Colin Kohler Robert Platt 62 1 0 29 Jun 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 186 149 0 28 Jun 2022
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning Yang Yue Bingyi Kang Zhongwen Xu Gao Huang Shuicheng Yan OffRL 99 13 0 25 Jun 2022
Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning Haoqi Yuan Zongqing Lu SSL OffRL 91 42 0 21 Jun 2022
Relative Policy-Transition Optimization for Fast Policy Transfer Jiawei Xu Cheng Zhou Yizheng Zhang Zhengyou Zhang Lei Han 47 0 0 13 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning Jinpei Guo Biwei Huang Dacheng Tao 66 20 0 09 Jun 2022
Generalized Data Distribution Iteration Jiajun Fan Changnan Xiao OffRL 53 13 0 07 Jun 2022
Adaptive Rollout Length for Model-Based RL Using Model-Free Deep RL Abhinav Bhatia Philip S. Thomas S. Zilberstein OffRL 38 3 0 06 Jun 2022
Beyond Value: CHECKLIST for Testing Inferences in Planning-Based RL Kin-Ho Lam Delyar Tabatabai Jed Irvine Donald Bertucci Anita Ruangrotsakun Minsuk Kahng Alan Fern OffRL 56 1 0 04 Jun 2022
Graph Backup: Data Efficient Backup Exploiting Markovian Transitions Zhengyao Jiang Tianjun Zhang Robert Kirk Tim Rocktaschel Edward Grefenstette OffRL 41 2 0 31 May 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning Remo Sasso M. Sabatelli M. Wiering 106 9 0 28 May 2022
Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World Models Minting Pan Geng Chen Yunbo Wang Xiaokang Yang 106 43 0 27 May 2022
Scalable Multi-Agent Model-Based Reinforcement Learning Vladimir Egorov A. Shpilman 90 27 0 25 May 2022
Flexible Diffusion Modeling of Long Videos William Harvey Saeid Naderiparizi Vaden Masrani Christian D. Weilbach Frank Wood DiffM BDL VGen 246 298 0 23 May 2022