Offline Reinforcement Learning as One Big Sequence Modeling Problem

3 June 2021

Papers citing "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

50 / 464 papers shown

Title
DSADF: Thinking Fast and Slow for Decision Making Alex Zhihao Dou Dongfei Cui Jun Yan W. Wang Benteng Chen Haoming Wang Zeke Xie Shufei Zhang OffRL 36 0 0 13 May 2025
ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning Hongyin Zhang Zifeng Zhuang H. Zhao Pengxiang Ding Hongchao Lu Donglin Wang OffRL 44 0 0 12 May 2025
UniCO: Towards a Unified Model for Combinatorial Optimization Problems Zefang Zong Xiaochen Wei Guozhen Zhang Chen Gao Huandong Wang Yong Li 29 0 0 07 May 2025
Latent Adaptive Planner for Dynamic Manipulation Donghun Noh Deqian Kong Minglu Zhao Andrew Lizarraga Jianwen Xie Ying Nian Wu Dennis W. Hong 100 0 0 06 May 2025
Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Jifeng Hu Sili Huang Z. Yang Shengchao Hu Li Shen H. Chen Lichao Sun Yi-Ju Chang Dacheng Tao OffRL 109 0 0 03 May 2025
NGENT: Next-Generation AI Agents Must Integrate Multi-Domain Abilities to Achieve Artificial General Intelligence Zhicong Li Hangyu Mao Jiangjin Yin Mingzhe Xing Zhiwei Xu Yuanxing Zhang Yang Xiao 29 0 0 30 Apr 2025
Offline Learning of Controllable Diverse Behaviors Mathieu Petitbois Rémy Portelas Sylvain Lamprier Ludovic Denoyer OffRL 34 0 0 25 Apr 2025
Towards Forceful Robotic Foundation Models: a Literature Survey William Xie N. Correll OffRL 56 1 0 16 Apr 2025
Decision SpikeFormer: Spike-Driven Transformer for Decision Making Wei Huang Qinying Gu Nanyang Ye OffRL 29 1 0 04 Apr 2025
Latent Embedding Adaptation for Human Preference Alignment in Diffusion Planners Wen Zheng Terence Ng Jianda Chen Yuan Xu Tianwei Zhang 37 0 0 24 Mar 2025
CONTHER: Human-Like Contextual Robot Learning via Hindsight Experience Replay and Transformers without Expert Demonstrations Maria Makarova Qian Liu Dzmitry Tsetserukou OffRL 41 0 0 20 Mar 2025
Masked Sensory-Temporal Attention for Sensor Generalization in Quadruped Locomotion Dikai Liu Tianwei Zhang Jianxiong Yin Simon See 85 1 0 13 Mar 2025
Positive-Unlabeled Diffusion Models for Preventing Sensitive Data Generation Hiroshi Takahashi Tomoharu Iwata Atsutoshi Kumagai Yuuki Yamanaka Tomoya Yamashita DiffM 65 0 0 05 Mar 2025
Target Return Optimizer for Multi-Game Decision Transformer Kensuke Tatematsu Akifumi Wachi OffRL 64 0 0 04 Mar 2025
DPR: Diffusion Preference-based Reward for Offline Reinforcement Learning Teng Pang Bingzheng Wang Guoqiang Wu Yilong Yin OffRL 68 0 0 03 Mar 2025
Transformer Meets Twicing: Harnessing Unattended Residual Information Laziz U. Abdullaev Tan M. Nguyen 39 2 0 02 Mar 2025
What Makes a Good Diffusion Planner for Decision Making? Haofei Lu Dongqi Han Yifei Shen Dongsheng Li DiffM 33 3 0 01 Mar 2025
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction Baiting Luo Ava Pettet Aron Laszka A. Dubey Ayan Mukhopadhyay OffRL 43 1 0 28 Feb 2025
ColorDynamic: Generalizable, Scalable, Real-time, End-to-end Local Planner for Unstructured and Dynamic Environments Jinghao Xin Zhichao Liang Zihuan Zhang Peng Wang Ning Li 59 0 0 27 Feb 2025
Revisiting Kernel Attention with Correlated Gaussian Process Representation Long Minh Bui Tho Tran Huu Duy-Tung Dinh T. Nguyen Trong Nghia Hoang 44 2 0 27 Feb 2025
Distilling Reinforcement Learning Algorithms for In-Context Model-Based Planning Jaehyeon Son Soochan Lee Gunhee Kim OffRL 72 1 0 26 Feb 2025
Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Yiqin Yang Quanwei Wang Chenghao Li Hao Hu Chengjie Wu ... Dianyu Zhong Ziyou Zhang Qianchuan Zhao Chongjie Zhang Xu Bo OffRL 47 0 0 26 Feb 2025
PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning Kun Hu Muning Wen X. Wang S. Zhang Yiwei Shi Minne Li Minglong Li Ying Wen 42 0 0 23 Feb 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter G. Klambauer Razvan Pascanu Sepp Hochreiter 73 4 0 21 Feb 2025
RobotIQ: Empowering Mobile Robots with Human-Level Planning for Real-World Execution Emmanuel K. Raptis Athanasios Ch. Kapoutsis Elias B. Kosmatopoulos LM&Ro 75 0 0 18 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 62 1 0 17 Feb 2025
Diverse Transformer Decoding for Offline Reinforcement Learning Using Financial Algorithmic Approaches D. Elbaz Oren Salzman OffRL 32 0 0 13 Feb 2025
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling Shenghong He OffRL 138 0 0 10 Feb 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making Haofei Lu Yifei Shen Dongsheng Li Junliang Xing Dongqi Han 62 0 0 10 Feb 2025
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc OffRL 67 0 0 10 Feb 2025
Towards Robust Spacecraft Trajectory Optimization via Transformers Yuji Takubo T. Guffanti Daniele Gammelli Marco Pavone Simone DÁmico 69 4 0 28 Jan 2025
Extensive Exploration in Complex Traffic Scenarios using Hierarchical Reinforcement Learning Zhihao Zhang Ekim Yurtsever Keith A. Redmill 33 0 0 28 Jan 2025
Utilizing Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc 38 1 0 23 Jan 2025
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgul Manuel Haußmann M. Kandemir OffRL 66 1 0 17 Jan 2025
Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer Chongming Gao Kexin Huang Ziang Fei Jiaju Chen J. Chen Jianshan Sun Shuchang Liu Qingpeng Cai Peng Jiang OffRL 34 0 0 13 Jan 2025
Human-like Bots for Tactical Shooters Using Compute-Efficient Sensors Niels Justesen Maria Kaselimi Sam Snodgrass Miruna Vozaru Matthew Schlegel ... Albert Wang Christoffer Holmgård Georgios N. Yannakakis S. Risi Julian Togelius 39 0 0 03 Jan 2025
MADiff: Offline Multi-agent Learning with Diffusion Models Zhengbang Zhu Minghuan Liu Liyuan Mao Bingyi Kang Minkai Xu Yong Yu Stefano Ermon Weinan Zhang DiffM OffRL 78 33 0 03 Jan 2025
ACL-QL: Adaptive Conservative Level in Q-Learning for Offline Reinforcement Learning Kun Wu Yinuo Zhao Z. Xu Zhengping Che Chengxiang Yin C. Liu Qinru Qiu Feiferi Feng OffRL 100 1 0 22 Dec 2024
AdaCred: Adaptive Causal Decision Transformers with Feature Crediting Hemant Kumawat Saibal Mukhopadhyay 62 0 0 19 Dec 2024
Embodied CoT Distillation From LLM To Off-the-shelf Agents Wonje Choi Woo Kyung Kim Minjong Yoo Honguk Woo OffRL LM&Ro 108 2 0 16 Dec 2024
Advances in Transformers for Robotic Applications: A Review Nikunj Sanghai Nik Bear Brown AI4CE 75 0 0 13 Dec 2024
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone Max Sobol Mark Tian Gao Georgia Gabriela Sampaio M. K. Srirama Archit Sharma Chelsea Finn Aviral Kumar OffRL OnRL 95 4 0 09 Dec 2024
Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations Cevahir Köprülü Po-han Li Tianyu Qiu Ruihan Zhao T. Westenbroek David Fridovich-Keil Sandeep P. Chinchali Ufuk Topcu OffRL 89 0 0 02 Dec 2024
Hierarchical Prompt Decision Transformer: Improving Few-Shot Policy Generalization with Global and Adaptive Guidance Zhe Wang Haozhu Wang Yanjun Qi OffRL 76 0 0 01 Dec 2024
Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation Zhihong Liu Long Qian Zeyang Liu Lipeng Wan Xingyu Chen Xuguang Lan OffRL 75 1 0 18 Nov 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context Zihao Li Yuan Cao Cheng Gao Yihan He Han Liu Jason M. Klusowski Jianqing Fan Mengdi Wang MLT 47 6 0 16 Nov 2024
Evaluating World Models with LLM for Decision Making Chang Yang Xinrun Wang Junzhe Jiang Qinggang Zhang Xiao Huang LLMAG ELM 36 2 0 13 Nov 2024
Éxplaining RL Decisions with Trajectories': A Reproducibility Study Karim Abdel Sadek Matteo Nulli Joan Velja Jort Vincenti 38 0 0 11 Nov 2024
CROPS: A Deployable Crop Management System Over All Possible State Availabilities Jing Wu Zhixin Lai Shengjie Liu Suiyao Chen Ran Tao Pan Zhao Chuyuan Tao Yikun Cheng N. Hovakimyan OffRL 39 0 0 09 Nov 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 34 0 0 07 Nov 2024