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TD-MPC2: Scalable, Robust World Models for Continuous Control

TD-MPC2: Scalable, Robust World Models for Continuous Control

25 October 2023
Nicklas Hansen
Hao Su
Xiaolong Wang
    MU
ArXivPDFHTML

Papers citing "TD-MPC2: Scalable, Robust World Models for Continuous Control"

50 / 106 papers shown
Title
World Models as Reference Trajectories for Rapid Motor Adaptation
World Models as Reference Trajectories for Rapid Motor Adaptation
Carlos Stein Brito
Daniel McNamee
14
0
0
21 May 2025
RLVR-World: Training World Models with Reinforcement Learning
RLVR-World: Training World Models with Reinforcement Learning
Jialong Wu
Shaofeng Yin
Ningya Feng
Mingsheng Long
OffRL
VGen
17
0
0
20 May 2025
TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion
TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion
Khang Nguyen
Khai Nguyen
An T. Le
Jan Peters
Manfred Huber
Ngo Anh Vien
Minh Nhat Vu
17
0
0
19 May 2025
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents
Of Mice and Machines: A Comparison of Learning Between Real World Mice and RL Agents
Shuo Han
German Espinosa
Junda Huang
D. Dombeck
Malcolm A. MacIver
Bradly C. Stadie
17
0
0
18 May 2025
Zero-Shot Visual Generalization in Robot Manipulation
Zero-Shot Visual Generalization in Robot Manipulation
Sumeet Batra
Gaurav Sukhatme
22
0
0
16 May 2025
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation
Jun Guo
Xiaojian Ma
Yikai Wang
Min Yang
Huaping Liu
Qing Li
VGen
39
0
0
15 May 2025
LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
Yuhang Huang
JIazhao Zhang
SHilong Zou
Xinwang Liu
Ruizhen Hu
Kai Xu
22
0
0
13 May 2025
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang
Zhen Zhang
OffRL
CML
34
0
0
13 May 2025
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
Motion Control of High-Dimensional Musculoskeletal Systems with Hierarchical Model-Based Planning
Yunyue Wei
Shanning Zhuang
Vincent Zhuang
Yanan Sui
34
0
0
13 May 2025
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
Anthony Liang
Pavel Czempin
Matthew Hong
Yutai Zhou
Erdem Biyik
Stephen Tu
57
0
0
08 May 2025
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation
Abdulaziz Almuzairee
Rohan Patil
Dwait Bhatt
Henrik I. Christensen
39
0
0
07 May 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning
Shangzhe Li
Zhiao Huang
Hao Su
71
0
0
04 May 2025
Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation
Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation
Pascal Roth
Jonas Frey
Cesar Cadena
Marco Hutter
41
0
0
27 Apr 2025
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
Haoran Geng
Feishi Wang
Songlin Wei
Yuchen Li
Bangjun Wang
...
Hao Dong
Siyuan Huang
Yue Wang
Jitendra Malik
Pieter Abbeel
85
4
0
26 Apr 2025
Action Flow Matching for Continual Robot Learning
Action Flow Matching for Continual Robot Learning
Alejandro Murillo-Gonzalez
Lantao Liu
CLL
47
0
0
25 Apr 2025
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation
Wenxuan Li
Hang Zhao
Zhiyuan Yu
Yu Du
Qin Zou
Ruizhen Hu
K. Xu
SSL
83
1
0
23 Apr 2025
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Neural Fidelity Calibration for Informative Sim-to-Real Adaptation
Youwei Yu
Lantao Liu
45
0
0
11 Apr 2025
Trust-Region Twisted Policy Improvement
Trust-Region Twisted Policy Improvement
Joery A. de Vries
Jinke He
Yaniv Oren
M. Spaan
OffRL
LRM
40
0
0
08 Apr 2025
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories
Natalie Tirabassi
Sathish A. P. Kumar
S. Jha
Arvind Ramanathan
LM&Ro
OffRL
68
0
0
04 Apr 2025
Adapting World Models with Latent-State Dynamics Residuals
Adapting World Models with Latent-State Dynamics Residuals
JB Lanier
Kyungmin Kim
Armin Karamzade
Yifei Liu
Ankita Sinha
Kat He
Davide Corsi
Roy Fox
49
0
0
03 Apr 2025
Robust Offline Imitation Learning Through State-level Trajectory Stitching
Robust Offline Imitation Learning Through State-level Trajectory Stitching
Shuze Wang
Yunpeng Mei
Hongjie Cao
Yetian Yuan
Gang Wang
Jian Sun
Jie Chen
OffRL
39
0
0
28 Mar 2025
FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation
FLAM: Foundation Model-Based Body Stabilization for Humanoid Locomotion and Manipulation
Xianqi Zhang
Hongliang Wei
Wenrui Wang
Xingtao Wang
Xiaopeng Fan
Debin Zhao
41
0
0
28 Mar 2025
AdaWorld: Learning Adaptable World Models with Latent Actions
AdaWorld: Learning Adaptable World Models with Latent Actions
Shenyuan Gao
Siyuan Zhou
Yilun Du
Jun Zhang
Chuang Gan
VGen
73
4
0
24 Mar 2025
Bootstrapped Model Predictive Control
Bootstrapped Model Predictive Control
Yuhang Wang
Hanwei Guo
Sizhe Wang
Long Qian
Xuguang Lan
64
0
0
24 Mar 2025
Learning Robotic Policy with Imagined Transition: Mitigating the Trade-off between Robustness and Optimality
Wei Xiao
Shangke Lyu
Zhefei Gong
Renjie Wang
Donglin Wang
48
1
0
13 Mar 2025
Temporal Difference Flows
Jesse Farebrother
Matteo Pirotta
Andrea Tirinzoni
Rémi Munos
A. Lazaric
Ahmed Touati
AI4TS
AIFin
62
0
0
12 Mar 2025
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Reasoning in visual navigation of end-to-end trained agents: a dynamical systems approach
Steeven Janny
Hervé Poirier
L. Antsfeld
G. Bono
G. Monaci
Boris Chidlovskii
Francesco Giuliari
Alessio Del Bue
Christian Wolf
LM&Ro
63
0
0
11 Mar 2025
Multi-Task Reinforcement Learning Enables Parameter Scaling
Reginald McLean
Evangelos Chataroulas
Jordan Terry
Isaac Woungang
Nariman Farsad
Pablo Samuel Castro
LRM
57
1
0
07 Mar 2025
Knowledge Retention for Continual Model-Based Reinforcement Learning
Yixiang Sun
Haotian Fu
M. L. Littman
George Konidaris
OffRL
CLL
VLM
59
0
0
06 Mar 2025
Boosting Offline Optimizers with Surrogate Sensitivity
Manh Cuong Dao
Phi Le Nguyen
Thao Nguyen Truong
Trong Nghia Hoang
OffRL
64
4
0
06 Mar 2025
Learning Transformer-based World Models with Contrastive Predictive Coding
Maxime Burchi
Radu Timofte
72
0
0
06 Mar 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models
Cansu Sancaktar
Christian Gumbsch
Andrii Zadaianchuk
Pavel Kolev
Georg Martius
LM&Ro
VLM
74
1
0
03 Mar 2025
Discrete Codebook World Models for Continuous Control
Aidan Scannell
Mohammadreza Nakhaei
Kalle Kujanpää
Yi Zhao
Kevin Sebastian Luck
Dieter Büchler
Joni Pajarinen
OffRL
50
1
0
01 Mar 2025
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Accelerating Model-Based Reinforcement Learning with State-Space World Models
Maria Krinner
Elie Aljalbout
Angel Romero
Davide Scaramuzza
OffRL
79
1
0
27 Feb 2025
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
TDMPBC: Self-Imitative Reinforcement Learning for Humanoid Robot Control
Zifeng Zhuang
Diyuan Shi
Runze Suo
Xiao He
Hongyin Zhang
Ting Wang
Shangke Lyu
Donglin Wang
42
0
0
24 Feb 2025
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hyperspherical Normalization for Scalable Deep Reinforcement Learning
Hojoon Lee
Youngdo Lee
Takuma Seno
Donghu Kim
Peter Stone
Jaegul Choo
70
1
0
24 Feb 2025
DMWM: Dual-Mind World Model with Long-Term Imagination
DMWM: Dual-Mind World Model with Long-Term Imagination
Lingyi Wang
Rashed Shelim
Walid Saad
Naren Ramakrishnan
LRM
247
1
0
11 Feb 2025
EvoAgent: Agent Autonomous Evolution with Continual World Model for Long-Horizon Tasks
Tongtong Feng
X. Wang
Zekai Zhou
Ren Wang
Yuwei Zhan
Guangyao Li
Qing Li
Wenwu Zhu
LM&Ro
83
0
0
09 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning
Patrick Yin
Tyler Westenbroek
Simran Bagaria
Kevin Huang
Ching-an Cheng
Andrey Kobolov
Abhishek Gupta
85
2
0
04 Feb 2025
Towards General-Purpose Model-Free Reinforcement Learning
Scott Fujimoto
P. DÓro
Amy Zhang
Yuandong Tian
Michael Rabbat
OffRL
49
3
0
28 Jan 2025
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes
Zijian Wang
Bin Wang
Mingwen Shao
Hongbo Dou
Boxiang Tao
46
0
0
06 Jan 2025
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene
  Interaction Learning via Human Mimicking
Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking
Yun-Hai Liu
Bowen Yang
Licheng Zhong
He Wang
Li Yi
58
5
0
23 Dec 2024
Parseval Regularization for Continual Reinforcement Learning
Parseval Regularization for Continual Reinforcement Learning
Wesley Chung
Lynn Cherif
David Meger
Doina Precup
CLL
91
2
0
10 Dec 2024
The Matrix: Infinite-Horizon World Generation with Real-Time Moving
  Control
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control
Ruili Feng
Han Zhang
Zhantao Yang
Jie Xiao
Zhilei Shu
Zhiheng Liu
Andy Zheng
Yukun Huang
Yu Liu
Han Zhang
VGen
100
9
0
04 Dec 2024
Navigation World Models
Navigation World Models
Amir Bar
G. Zhou
Danny Tran
Trevor Darrell
Yann LeCun
VGen
EgoV
84
15
0
04 Dec 2024
Metacognition for Unknown Situations and Environments (MUSE)
Metacognition for Unknown Situations and Environments (MUSE)
Rodolfo Valiente
Praveen K. Pilly
74
0
0
20 Nov 2024
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers
Jake Grigsby
Justin Sasek
Samyak Parajuli
Daniel Adebi
Amy Zhang
Yuke Zhu
OffRL
33
3
0
17 Nov 2024
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
G. Zhou
Hengkai Pan
Yann LeCun
Lerrel Pinto
VGen
LM&Ro
OffRL
35
16
0
07 Nov 2024
Learning World Models for Unconstrained Goal Navigation
Learning World Models for Unconstrained Goal Navigation
Yuanlin Duan
Wensen Mao
He Zhu
34
1
0
03 Nov 2024
Adaptive World Models: Learning Behaviors by Latent Imagination Under
  Non-Stationarity
Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity
Emiliyan Gospodinov
Vaisakh Shaj
P. Becker
Stefan Geyer
Gerhard Neumann
39
0
0
02 Nov 2024
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