Learning Invariant Representations for Reinforcement Learning without Reconstruction

18 June 2020

Papers citing "Learning Invariant Representations for Reinforcement Learning without Reconstruction"

50 / 226 papers shown

Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning Xinyue Wang Biwei Huang OffRL CML 29 0 0 13 May 2025
Physics-informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni Zherong Pan A. H. Qureshi SSL 39 0 0 09 May 2025
Implicit Neural-Representation Learning for Elastic Deformable-Object Manipulations Minseok Song JeongHo Ha Bonggyeong Park Daehyung Park 126 0 0 01 May 2025
The Dual-Route Model of Induction Sheridan Feucht Eric Todd Byron C. Wallace David Bau 32 0 0 03 Apr 2025
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations Ran Tian Kratarth Goel 41 0 0 25 Mar 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration Amir Baghi Jens Sjölund Joakim Bergdahl Linus Gisslén Alessandro Sestini 58 0 0 17 Mar 2025
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning Q. Wang Z. Zhang Baao Xie Xin Jin Y. Wang Shiyu Wang Liaomo Zheng Xiaokang Yang Wenjun Zeng OffRL 63 0 0 11 Mar 2025
Studying the Interplay Between the Actor and Critic Representations in Reinforcement Learning Samuel Garcin Trevor A. McInroe P. S. Castro Prakash Panangaden Christopher G. Lucas David Abel Stefano V. Albrecht 51 0 0 08 Mar 2025
Provably Correct Automata Embeddings for Optimal Automata-Conditioned Reinforcement Learning Beyazit Yalcinkaya Niklas T. Lauffer Marcell Vazquez-Chanlatte S. Seshia OffRL 52 0 0 06 Mar 2025
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 36 1 0 27 Feb 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based RL Hongye Cao Fan Feng Meng Fang Shaokang Dong Tianpei Yang Jing Huo Yang Gao 61 1 0 14 Feb 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 65 0 0 08 Feb 2025
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation Siyu Wang Xiaocong Chen Lina Yao CML OffRL 88 0 0 04 Feb 2025
Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang Yao Li Xin Li Hongyu Zang Romain Laroche Riashat Islam OffRL 54 0 0 03 Feb 2025
Inductive Biases for Zero-shot Systematic Generalization in Language-informed Reinforcement Learning Negin Hashemi Dijujin Seyed Roozbeh Razavi Rohani Mohammad Samiei M. Baghshah 53 0 0 28 Jan 2025
Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto P. DÓro Amy Zhang Yuandong Tian Michael Rabbat OffRL 36 3 0 28 Jan 2025
Risk-averse policies for natural gas futures trading using distributional reinforcement learning Félicien Hêche Biagio Nigro Oussama Barakat Stephan Robert-Nicoud OffRL 39 0 0 08 Jan 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 77 0 0 03 Jan 2025
Efficient Reinforcement Learning for Optimal Control with Natural Images Peter N. Loxley 66 0 0 12 Dec 2024
Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs Chao Han Debabrota Basu M. Mangan Eleni Vasilaki Aditya Gilra 37 0 0 12 Nov 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 35 0 0 09 Nov 2024
EmbodiedRAG: Dynamic 3D Scene Graph Retrieval for Efficient and Scalable Robot Task Planning Meghan Booker Grayson Byrd Bethany Kemp Aurora Schmidt Corban Rivera LM&Ro 40 2 0 31 Oct 2024
CALE: Continuous Arcade Learning Environment Jesse Farebrother Pablo Samuel Castro ELM 31 0 0 31 Oct 2024
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions Kyungmin Kim JB Lanier Pierre Baldi Charless C. Fowlkes Roy Fox 30 1 0 13 Oct 2024
Bisimulation metric for Model Predictive Control Yutaka Shimizu M. Tomizuka 28 0 0 06 Oct 2024
Run-time Observation Interventions Make Vision-Language-Action Models More Visually Robust Asher Hancock Allen Z. Ren Anirudha Majumdar VLM 28 2 0 02 Oct 2024
Contrastive Abstraction for Reinforcement Learning Vihang Patil M. Hofmarcher Elisabeth Rumetshofer Sepp Hochreiter OffRL SSL 24 2 0 01 Oct 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 27 3 0 29 Sep 2024
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games Liang Zhang Justin Lieffers A. Pyarelal 24 0 0 25 Sep 2024
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn Hongyao Tang Glen Berseth OffRL 40 1 0 07 Sep 2024
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 38 1 0 30 Jul 2024
Advanced deep-reinforcement-learning methods for flow control: group-invariant and positional-encoding networks improve learning speed and quality Joogoo Jeon Jean Rabault Joel Vasanth Francisco Alcántara-Ávila Shilaj Baral Ricardo Vinuesa AI4CE 46 5 0 25 Jul 2024
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems Siyu Wang Xiaocong Chen Lina Yao CML 27 0 0 18 Jul 2024
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement Jiafan Zhuang Zihao Xia Gaofei Han Boxi Wang Wenji Li Dongliang Wang Zhifeng Hao Ruichu Cai Zhun Fan CML 26 0 0 04 Jul 2024
Disentangled Representations for Causal Cognition Filippo Torresan Manuel Baltieri CML 37 1 0 30 Jun 2024
DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction Ameya Pore Riccardo Muradore Diego DallÁlba DRL 31 1 0 30 Jun 2024
Diffusion Spectral Representation for Reinforcement Learning Dmitry Shribak Chen-Xiao Gao Yitong Li Chenjun Xiao Bo Dai DiffM 26 3 0 23 Jun 2024
Learning Abstract World Model for Value-preserving Planning with Options Rafael Rodríguez-Sánchez G. Konidaris 27 1 0 22 Jun 2024
Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation Tong Zhang Yingdong Hu Jiacheng You Yang Gao 26 7 0 15 Jun 2024
SLR: Learning Quadruped Locomotion without Privileged Information Shiyi Chen Zeyu Wan Shiyang Yan Chun Zhang Weiyi Zhang Qiang Li Debing Zhang F. Farrukh 37 4 0 07 Jun 2024
Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently Sergio Calo Anders Jonsson Gergely Neu Ludovic Schwartz Javier Segovia OT 34 1 0 06 Jun 2024
iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement Learning Aidan Scannell Kalle Kujanpää Yi Zhao Mohammadreza Nakhaei Arno Solin J. Pajarinen SSL 47 5 0 04 Jun 2024
Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment Tianyu Wang Dwait Bhatt Xiaolong Wang Nikolay A. Atanasov 48 5 0 04 Jun 2024
Efficient Monte Carlo Tree Search via On-the-Fly State-Conditioned Action Abstraction Yunhyeok Kwak Inwoo Hwang Dooyoung Kim Sanghack Lee Byoung-Tak Zhang 33 0 0 02 Jun 2024
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications Dayang Liang Jinyang Lai Yunlong Liu 31 0 0 30 May 2024
Causal Action Influence Aware Counterfactual Data Augmentation Núria Armengol Urpí Marco Bagatella Marin Vlastelica Georg Martius CML 33 5 0 29 May 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 30 8 0 24 May 2024
State-Constrained Offline Reinforcement Learning Charles A. Hepburn Yue Jin Giovanni Montana OffRL 35 0 0 23 May 2024
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills Tianhao Wei Liqian Ma Rui Chen Weiye Zhao Changliu Liu 42 3 0 18 May 2024