Planning with Diffusion for Flexible Behavior Synthesis

20 May 2022

Papers citing "Planning with Diffusion for Flexible Behavior Synthesis"

50 / 109 papers shown

Title
Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv Xiang Deng Gongwei Chen Michael Yu Wang Liqiang Nie 102 7 0 08 Jun 2024
TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning Problems Ryo Yonetani 52 1 0 05 Jun 2024
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation Guanxing Lu Zifeng Gao Tianxing Chen Wen-Dao Dai Ziwei Wang Yansong Tang Yansong Tang DiffM 93 14 0 03 Jun 2024
Amortizing intractable inference in diffusion models for vision, language, and control S. Venkatraman Moksh Jain Luca Scimeca Minsu Kim Marcin Sendera ... Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin 102 28 0 31 May 2024
Diffusion Actor-Critic: Formulating Constrained Policy Iteration as Diffusion Noise Regression for Offline Reinforcement Learning Linjiajie Fang Ruoxue Liu Jing Zhang Wenjia Wang Bing-Yi Jing OffRL 75 7 0 31 May 2024
WcDT: World-centric Diffusion Transformer for Traffic Scene Generation Chen Yang Aaron Xuxiang Tian Dong Chen Tianyu Shi Arsalan Heydarian Tianyu Shi Arsalan Heydarian Pei Liu 75 10 0 02 Apr 2024
Diffusion-Reinforcement Learning Hierarchical Motion Planning in Multi-agent Adversarial Games Zixuan Wu Sean Ye Manisha Natarajan Matthew C. Gombolay 88 6 0 16 Mar 2024
GraspGF: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping Tianhao Wu Mingdong Wu Jiyao Zhang Yunchong Gan Hao Dong 79 21 0 12 Sep 2023
PDPP: Projected Diffusion for Procedure Planning in Instructional Videos Hanlin Wang Yilu Wu Sheng Guo Limin Wang VGen DiffM 95 30 0 26 Mar 2023
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 57 93 0 19 Feb 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 249 874 0 12 Oct 2021
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL Benjamin Eysenbach Alexander Khazatsky Sergey Levine Ruslan Salakhutdinov OffRL 222 45 0 06 Oct 2021
3D Neural Scene Representations for Visuomotor Control Yunzhu Li Shuang Li Vincent Sitzmann Pulkit Agrawal Antonio Torralba 91 140 0 08 Jul 2021
Structured Denoising Diffusion Models in Discrete State-Spaces Jacob Austin Daniel D. Johnson Jonathan Ho Daniel Tarlow Rianne van den Berg DiffM 100 900 0 07 Jul 2021
Model-Based Reinforcement Learning via Latent-Space Collocation Oleh Rybkin Chuning Zhu Anusha Nagabandi Kostas Daniilidis Igor Mordatch Sergey Levine OffRL 44 38 0 24 Jun 2021
Vector Quantized Models for Planning Sherjil Ozair Yazhe Li Ali Razavi Ioannis Antonoglou Aaron van den Oord Oriol Vinyals OffRL 38 49 0 08 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 92 665 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 73 1,608 0 02 Jun 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 123 7,639 0 11 May 2021
3D Shape Generation and Completion through Point-Voxel Diffusion Linqi Zhou Yilun Du Jiajun Wu DiffM 81 521 0 08 Apr 2021
Improved Denoising Diffusion Probabilistic Models Alex Nichol Prafulla Dhariwal DiffM 154 3,599 0 18 Feb 2021
Learning Accurate Long-term Dynamics for Model-based Reinforcement Learning Nathan Lambert Albert Wilcox Howard Zhang K. Pister Roberto Calandra 34 33 0 16 Dec 2020
Generative Temporal Difference Learning for Infinite-Horizon Prediction Michael Janner Igor Mordatch Sergey Levine AI4CE 30 34 0 27 Oct 2020
Denoising Diffusion Implicit Models Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 93 7,166 0 06 Oct 2020
Mastering Atari with Discrete World Models Danijar Hafner Timothy Lillicrap Mohammad Norouzi Jimmy Ba DRL 68 834 0 05 Oct 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 47 787 0 02 Sep 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 45 152 0 12 Aug 2020
Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du Joseph D. Futoma Finale Doshi-Velez 51 51 0 29 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 264 17,550 0 19 Jun 2020
Array Programming with NumPy Charles R. Harris K. Millman S. Walt R. Gommers Pauli Virtanen ... Tyler Reddy Warren Weckesser Hameer Abbasi C. Gohlke T. Oliphant 44 14,757 0 18 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 73 601 0 16 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 84 1,780 0 08 Jun 2020
MOPO: Model-based Offline Policy Optimization Tianhe Yu G. Thomas Lantao Yu Stefano Ermon James Zou Sergey Levine Chelsea Finn Tengyu Ma OffRL 58 759 0 27 May 2020
MOReL : Model-Based Offline Reinforcement Learning Rahul Kidambi Aravind Rajeswaran Praneeth Netrapalli Thorsten Joachims OffRL 64 662 0 12 May 2020
D4RL: Datasets for Deep Data-Driven Reinforcement Learning Justin Fu Aviral Kumar Ofir Nachum George Tucker Sergey Levine GP OffRL 172 1,338 0 15 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 211 42,038 0 03 Dec 2019
Model Based Planning with Energy Based Models Yilun Du Toru Lin Igor Mordatch 35 38 0 15 Sep 2019
Mish: A Self Regularized Non-Monotonic Activation Function Diganta Misra 46 679 0 23 Aug 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 146 3,803 0 12 Jul 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 57 361 0 03 Jul 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 52 210 0 22 Apr 2019
Structured agents for physical construction V. Bapst Alvaro Sanchez-Gonzalez Carl Doersch Kimberly L. Stachenfeld Pushmeet Kohli Peter W. Battaglia Jessica B. Hamrick AI4CE 98 99 0 05 Apr 2019
Model-Based Reinforcement Learning for Atari Lukasz Kaiser Mohammad Babaeizadeh Piotr Milos B. Osinski R. Campbell ... Sergey Levine Afroz Mohiuddin Ryan Sepassi George Tucker Henryk Michalewski OffRL 96 851 0 01 Mar 2019
Off-Policy Deep Reinforcement Learning without Exploration Scott Fujimoto David Meger Doina Precup OffRL BDL 148 1,586 0 07 Dec 2018
Learning Latent Dynamics for Planning from Pixels Danijar Hafner Timothy Lillicrap Ian S. Fischer Ruben Villegas David R Ha Honglak Lee James Davidson BDL 63 1,416 0 12 Nov 2018
Deep Imitative Models for Flexible Inference, Planning, and Control Nicholas Rhinehart R. McAllister Sergey Levine 58 148 0 15 Oct 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 107 930 0 04 Sep 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 124 597 0 04 Jun 2018
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models Kurtland Chua Roberto Calandra R. McAllister Sergey Levine BDL 150 1,263 0 30 May 2018
Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review Sergey Levine AI4CE BDL 51 667 0 02 May 2018