Deep Variational Reinforcement Learning for POMDPs

6 June 2018

Papers citing "Deep Variational Reinforcement Learning for POMDPs"

50 / 167 papers shown

Title
ESCORT: Efficient Stein-variational and Sliced Consistency-Optimized Temporal Belief Representation for POMDPs Yunuo Zhang Baiting Luo Ayan Mukhopadhyay G. Karsai Abhishek Dubey 16 0 0 24 Oct 2025
Predictive Coding Enhances Meta-RL To Achieve Interpretable Bayes-Optimal Belief Representation Under Partial Observability Po-Chen Kuo Han Hou Will Dabney Edgar Y. Walker 28 0 0 24 Oct 2025
Diffusion Models for Reinforcement Learning: Foundations, Taxonomy, and Development Changfu Xu Jianxiong Guo Yuzhu Liang Haiyang Huang Haodong Zou Xi Zheng Shui Yu Xiaowen Chu Jiannong Cao Tian-sheng Wang OffRL AI4CE 59 0 0 14 Oct 2025
Into the Unknown: Towards using Generative Models for Sampling Priors of Environment Uncertainty for Planning in Configuration Spaces Subhransu S. Bhattacharjee Hao Lu Dylan Campbell Rahul Shome 3DPC 44 0 0 13 Oct 2025
Scalable Policy-Based RL Algorithms for POMDPs Ameya Anjarlekar Rasoul Etesami R Srikant 48 0 0 08 Oct 2025
Model-Based Reinforcement Learning under Random Observation Delays Armin Karamzade Kyungmin Kim JB Lanier Davide Corsi Roy Fox OffRL 40 0 0 25 Sep 2025
Mutual Information Tracks Policy Coherence in Reinforcement Learning Cameron Reid Wael Hafez Amirhossein Nazeri 44 0 0 12 Sep 2025
Convergence of regularized agent-state-based Q-learning in POMDPs Amit Sinha Matthieu Geist Aditya Mahajan 52 0 0 29 Aug 2025
Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI Dilruk Perera Gousia Habib Qianyi Xu Daniel J. Tan Kai He Erik Cambria Mengling Feng OffRL AI4TS 172 0 0 28 Aug 2025
Dream to Generalize: Zero-Shot Model-Based Reinforcement Learning for Unseen Visual DistractionsAAAI Conference on Artificial Intelligence (AAAI), 2023 Jeongsoo Ha Kyungsoo Kim Yusung Kim OffRL VLM 115 8 0 05 Jun 2025
Sequential Monte Carlo for Policy Optimization in Continuous POMDPs Hany Abdulsamad Sahel Iqbal Simo Särkkä 222 1 0 22 May 2025
BEAC: Imitating Complex Exploration and Task-oriented Behaviors for Invisible Object Nonprehensile Manipulation Hirotaka Tahara Takamitsu Matsubara 168 0 0 21 Mar 2025
Deep Belief Markov Models for POMDP Inference Giacomo Arcieri K. Papakonstantinou D. Štraub Eleni Chatzi 148 0 0 17 Mar 2025
Discrete Codebook World Models for Continuous ControlInternational Conference on Learning Representations (ICLR), 2025 Aidan Scannell Mohammadreza Nakhaei Kalle Kujanpää Yi Zhao Kevin Sebastian Luck Dieter Büchler Joni Pajarinen OffRL 163 9 0 01 Mar 2025
Towards Cost Sensitive Decision MakingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Yang Li Junier Oliva OffRL 88 0 0 04 Oct 2024
Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions Mohammad K. Al-Sharman Luc Edes Bert Sun Vishal Jayakumar Mohamed A. Daoud Derek Rayside W. Melek 135 4 0 20 Sep 2024
Equivariant Reinforcement Learning under Partial ObservabilityConference on Robot Learning (CoRL), 2024 Hai Nguyen Andrea Baisero David Klee Dian Wang Robert Platt Christopher Amato 160 21 0 26 Aug 2024
Solving Truly Massive Budgeted Monotonic POMDPs with Oracle-Guided Meta-Reinforcement Learning Manav Vora Jonas Liang M. Grussing Melkior Ornik 118 1 0 13 Aug 2024
Online Planning in POMDPs with State-Requests Raphael Avalos Eugenio Bargiacchi Ann Nowé D. Roijers F. Oliehoek 115 1 0 26 Jul 2024
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems Gianluigi Silvestri F. V. Massoli Tribhuvanesh Orekondy Afshin Abdi Arash Behboodi 134 0 0 10 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 172 4 0 30 Jun 2024
Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs Lili Wu Ben Evans Riashat Islam Raihan Seraj Yonathan Efroni Alex Lamb 140 1 0 22 Apr 2024
Multi-AGV Path Planning Method via Reinforcement Learning and Particle Filters Shao Shuo 87 2 0 27 Mar 2024
On Predictive planning and counterfactual learning in active inference Aswin Paul Takuya Isomura Adeel Razi AI4CE 122 6 0 19 Mar 2024
Do Agents Dream of Electric Sheep?: Improving Generalization in Reinforcement Learning through Generative Learning Giorgio Franceschelli Mirco Musolesi AI4CE 140 0 0 12 Mar 2024
Reinforcement Learning from Bagged Reward Yuting Tang Xin-Qiang Cai Yao-Xiang Ding Qiyu Wu Guoqing Liu Masashi Sugiyama OffRL 211 0 0 06 Feb 2024
Approximate Control for Continuous-Time POMDPs Yannick Eich Bastian Alt Heinz Koeppl 92 1 0 02 Feb 2024
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous DrivingIEEE Robotics and Automation Letters (RA-L), 2024 Zhiyu Huang Chen Tang Chen Lv Masayoshi Tomizuka Wei Zhan 115 10 0 27 Jan 2024
Episodic Reinforcement Learning with Expanded State-reward Space Dayang Liang Yaru Zhang Yunlong Liu OffRL 110 4 0 19 Jan 2024
TrustFed: A Reliable Federated Learning Framework with Malicious-Attack Resistance Hangn Su Jianhong Zhou Xianhua Niu Gang Feng AAML 89 6 0 06 Dec 2023
Provable Representation with Efficient Planning for Partial Observable Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Hongming Zhang Zhaolin Ren Chenjun Xiao Dale Schuurmans Bo Dai 224 5 0 20 Nov 2023
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and PracticeAAAI Conference on Artificial Intelligence (AAAI), 2023 Idan Lev-Yehudi Moran Barenboim Vadim Indelman 236 8 0 13 Nov 2023
Resolving uncertainty on the fly: Modeling adaptive driving behavior as active inference Johan Engström Ran Wei Anthony D. McDonald Alfredo Garcia Matthew O'Kelly Leif Johnson 121 9 0 10 Nov 2023
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity Joey Hong Anca Dragan Sergey Levine OffRL 102 6 0 31 Oct 2023
Inverse Decision Modeling: Learning Interpretable Representations of BehaviorInternational Conference on Machine Learning (ICML), 2023 Daniel Jarrett Alihan Huyuk M. Schaar AI4CE 134 28 0 28 Oct 2023
ODE-based Recurrent Model-free Reinforcement Learning for POMDPsNeural Information Processing Systems (NeurIPS), 2023 Xu Zhao Duzhen Zhang Liyuan Han Tielin Zhang Bo Xu 155 11 0 25 Sep 2023
Learning Visual Tracking and Reaching with Deep Reinforcement Learning on a UR10e Robotic Arm C. Bellinger Laurence Lamarche-Cliche 119 0 0 28 Aug 2023
Deep Reinforcement Learning for Uplink Scheduling in NOMA-URLLC NetworksIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023 Benoît-Marie Robaglia M. Coupechoux D. Tsilimantos AI4TS 78 3 0 28 Aug 2023
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control TasksNeural Information Processing Systems (NeurIPS), 2023 I. Char J. Schneider 141 7 0 12 Jul 2023
Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised LearningIEEE International Conference on Robotics and Automation (ICRA), 2023 Xiang Li Varun Belagali Jinghuan Shang Michael S. Ryoo 221 42 0 04 Jul 2023
Deep Attention Q-Network for Personalized Treatment Recommendation Simin Ma Junghwan Lee N. Serban Shihao Yang OffRL 107 8 0 04 Jul 2023
Informed POMDP: Leveraging Additional Information in Model-Based RL Gaspard Lambrechts Adrien Bolland D. Ernst 160 11 0 20 Jun 2023
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations Robert J. Moss Anthony Corso J. Caers Mykel J. Kochenderfer 206 9 0 31 May 2023
Filter-Aware Model-Predictive ControlConference on Learning for Dynamics & Control (L4DC), 2023 Baris Kayalibay Atanas Mirchev Ahmed Agha Patrick van der Smagt Justin Bayer 191 0 0 20 Apr 2023
End-to-End Policy Gradient Method for POMDPs and Explainable Agents Soichiro Nishimori Sotetsu Koyamada Shin Ishii 82 0 0 19 Apr 2023
Habits and goals in synergy: a variational Bayesian framework for behaviorNature Communications (Nat. Commun.), 2023 Dongqi Han Kenji Doya Dongsheng Li Jun Tani BDL 154 208 0 11 Apr 2023
Fast exploration and learning of latent graphs with aliased observations Miguel Lazaro-Gredilla Ishani Deshpande Siva K. Swaminathan Meet Dave Dileep George 187 4 0 13 Mar 2023
The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space ModelsInternational Conference on Learning Representations (ICLR), 2023 Raphael Avalos Florent Delgrange Ann Nowé Guillermo A. Pérez D. Roijers 153 7 0 06 Mar 2023
Seq2Seq Imitation Learning for Tactile Feedback-based ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2023 Wenyan Yang A. Angleraud R. Pieters Joni Pajarinen Joni-Kristian Kämäräinen 154 11 0 05 Mar 2023
Modern Bayesian Experimental DesignStatistical Science (Statist. Sci.), 2023 Tom Rainforth Adam Foster Desi R. Ivanova Freddie Bickford-Smith 206 136 0 28 Feb 2023