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Meta-World: A Benchmark and Evaluation for Multi-Task and Meta
  Reinforcement Learning

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

24 October 2019
Tianhe Yu
Deirdre Quillen
Zhanpeng He
Ryan Julian
Avnish Narayan
Hayden Shively
Adithya Bellathur
Karol Hausman
Chelsea Finn
Sergey Levine
    OffRL
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Papers citing "Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning"

50 / 801 papers shown
Title
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive
  Control Resolution
Growing Q-Networks: Solving Continuous Control Tasks with Adaptive Control Resolution
Tim Seyde
Peter Werner
Wilko Schwarting
Markus Wulfmeier
Daniela Rus
OffRL
40
4
0
05 Apr 2024
Decision Transformer as a Foundation Model for Partially Observable
  Continuous Control
Decision Transformer as a Foundation Model for Partially Observable Continuous Control
Xiangyuan Zhang
Weichao Mao
Haoran Qiu
Tamer Basar
OffRL
AI4CE
32
6
0
03 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active
  Online Exploration
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
Yibo Wang
Jiang Zhao
OffRL
OnRL
27
0
0
31 Mar 2024
Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
Zhengmao He
Kun Lei
Yanjie Ze
K. Sreenath
Zhongyu Li
Huazhe Xu
71
13
0
29 Mar 2024
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language
  Models through Prompting and Interacting 3D Priors
SpatialPIN: Enhancing Spatial Reasoning Capabilities of Vision-Language Models through Prompting and Interacting 3D Priors
Chenyang Ma
Kai Lu
Ta-Ying Cheng
Niki Trigoni
Andrew Markham
LRM
40
7
0
18 Mar 2024
ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
Anthony Liang
Jesse Thomason
Erdem Biyik
40
7
0
16 Mar 2024
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion
  and Manipulation
HumanoidBench: Simulated Humanoid Benchmark for Whole-Body Locomotion and Manipulation
Carmelo Sferrazza
Dun-Ming Huang
Xingyu Lin
Youngwoon Lee
Pieter Abbeel
55
37
0
15 Mar 2024
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday
  Activities and Realistic Simulation
BEHAVIOR-1K: A Human-Centered, Embodied AI Benchmark with 1,000 Everyday Activities and Realistic Simulation
Chengshu Li
Ruohan Zhang
J. Wong
Cem Gokmen
S. Srivastava
...
Silvio Savarese
H. Gweon
Chenxi Liu
Jiajun Wu
Fei-Fei Li
VGen
LM&Ro
VLM
34
36
0
14 Mar 2024
Scaling Instructable Agents Across Many Simulated Worlds
Scaling Instructable Agents Across Many Simulated Worlds
Sima Team
Maria Abi Raad
Arun Ahuja
Catarina Barros
F. Besse
...
Daan Wierstra
Duncan Williams
Nathaniel Wong
Sarah York
Nick Young
LM&Ro
115
38
0
13 Mar 2024
NaturalVLM: Leveraging Fine-grained Natural Language for
  Affordance-Guided Visual Manipulation
NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation
Ran Xu
Yan Shen
Xiaoqi Li
Ruihai Wu
Hao Dong
LM&Ro
30
9
0
13 Mar 2024
Spatiotemporal Predictive Pre-training for Robotic Motor Control
Spatiotemporal Predictive Pre-training for Robotic Motor Control
Jiange Yang
Bei Liu
Jianlong Fu
Bocheng Pan
Gangshan Wu
Limin Wang
42
10
0
08 Mar 2024
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual
  Reinforcement Learning
Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement Learning
Hongjoon Ahn
Jinu Hyeon
Youngmin Oh
Bosun Hwang
Taesup Moon
CLL
OnRL
37
2
0
08 Mar 2024
DNAct: Diffusion Guided Multi-Task 3D Policy Learning
DNAct: Diffusion Guided Multi-Task 3D Policy Learning
Ge Yan
Yueh-hua Wu
Xiaolong Wang
VGen
37
20
0
07 Mar 2024
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple
  3D Representations
3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations
Yanjie Ze
Gu Zhang
Kangning Zhang
Chenyuan Hu
Muhan Wang
Huazhe Xu
VGen
45
78
0
06 Mar 2024
World Models for Autonomous Driving: An Initial Survey
World Models for Autonomous Driving: An Initial Survey
Yanchen Guan
Haicheng Liao
Zhenning Li
Jia Hu
Runze Yuan
Yunjian Li
Guohui Zhang
Chengzhong Xu
34
31
0
05 Mar 2024
A Case for Validation Buffer in Pessimistic Actor-Critic
A Case for Validation Buffer in Pessimistic Actor-Critic
Michal Nauman
M. Ostaszewski
Marek Cygan
34
0
0
01 Mar 2024
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter
  Lesson of Reinforcement Learning
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning
Michal Nauman
Michal Bortkiewicz
Piotr Milo's
Tomasz Trzciñski
M. Ostaszewski
Marek Cygan
OffRL
30
17
0
01 Mar 2024
Robust Policy Learning via Offline Skill Diffusion
Robust Policy Learning via Offline Skill Diffusion
Woo Kyung Kim
Minjong Yoo
Honguk Woo
OffRL
24
6
0
01 Mar 2024
Sample-Efficient Preference-based Reinforcement Learning with Dynamics
  Aware Rewards
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
Katherine Metcalf
Miguel Sarabia
Natalie Mackraz
B. Theobald
37
6
0
28 Feb 2024
Rethinking Mutual Information for Language Conditioned Skill Discovery
  on Imitation Learning
Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation Learning
Zhaoxun Ju
Chao Yang
Hongbo Wang
Yu Qiao
Gang Hua
LM&Ro
28
3
0
27 Feb 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy
  Preferences
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
Jie Cheng
Gang Xiong
Xingyuan Dai
Q. Miao
Yisheng Lv
Fei-Yue Wang
33
15
0
27 Feb 2024
Fair Resource Allocation in Multi-Task Learning
Fair Resource Allocation in Multi-Task Learning
Hao Ban
Kaiyi Ji
35
11
0
23 Feb 2024
Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
Grasp, See, and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
Kechun Xu
Zhongxiang Zhou
Jun Wu
Haojian Lu
Rong Xiong
Yue Wang
43
2
0
23 Feb 2024
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human
  Demonstrations
Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
Xiaogang Jia
Denis Blessing
Xinkai Jiang
Moritz Reuss
Atalay Donat
Rudolf Lioutikov
Gerhard Neumann
47
20
0
22 Feb 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy
  Regularization
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji
Yongyuan Liang
Yan Zeng
Yu-Juan Luo
Guowei Xu
Jiawei Guo
Ruijie Zheng
Furong Huang
Gang Hua
Huazhe Xu
CML
48
11
0
22 Feb 2024
PRISE: LLM-Style Sequence Compression for Learning Temporal Action
  Abstractions in Control
PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control
Ruijie Zheng
Ching-An Cheng
Hal Daumé
Furong Huang
Andrey Kolobov
33
9
0
16 Feb 2024
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Quentin Gallouedec
E. Beeching
Clément Romac
Emmanuel Dellandrea
26
11
0
15 Feb 2024
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
Sangwoo Shin
Daehee Lee
Minjong Yoo
Woo Kyung Kim
Honguk Woo
32
10
0
13 Feb 2024
Task-conditioned adaptation of visual features in multi-task policy
  learning
Task-conditioned adaptation of visual features in multi-task policy learning
Pierre Marza
L. Matignon
Olivier Simonin
Christian Wolf
48
2
0
12 Feb 2024
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy
  Adaptation
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
Sangwoo Shin
Minjong Yoo
Jeongwoo Lee
Honguk Woo
51
4
0
12 Feb 2024
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Hierarchical Transformers are Efficient Meta-Reinforcement Learners
Gresa Shala
André Biedenkapp
Josif Grabocka
OffRL
40
4
0
09 Feb 2024
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask
  Representation via Temporal Action-Driven Contrastive Loss
Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss
Ruijie Zheng
Yongyuan Liang
Xiyao Wang
Shuang Ma
Hal Daumé
Huazhe Xu
John Langford
Praveen Palanisamy
Kalyan Shankar Basu
Furong Huang
40
5
0
09 Feb 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan
Ziyu Wang
Zackory M. Erickson
David Held
David Held
34
4
0
08 Feb 2024
Code as Reward: Empowering Reinforcement Learning with VLMs
Code as Reward: Empowering Reinforcement Learning with VLMs
David Venuto
Sami Nur Islam
Martin Klissarov
Doina Precup
Sherry Yang
Ankit Anand
VLM
31
9
0
07 Feb 2024
AED: Adaptable Error Detection for Few-shot Imitation Policy
AED: Adaptable Error Detection for Few-shot Imitation Policy
Jia-Fong Yeh
Kuo-Han Hung
Pang-Chi Lo
Chi-Ming Chung
Tsung-Han Wu
Hung-Ting Su
Yi-Ting Chen
Winston H. Hsu
32
1
0
06 Feb 2024
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model
  Feedback
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
Yufei Wang
Zhanyi Sun
Jesse Zhang
Zhou Xian
Erdem Biyik
David Held
Zackory M. Erickson
VLM
55
51
0
06 Feb 2024
Transductive Reward Inference on Graph
Transductive Reward Inference on Graph
B. Qu
Xiaofeng Cao
Qing Guo
Yi Chang
Ivor W. Tsang
Chengqi Zhang
OffRL
38
0
0
06 Feb 2024
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal
  LLM Agents
RAP: Retrieval-Augmented Planning with Contextual Memory for Multimodal LLM Agents
Tomoyuki Kagaya
Thong Jing Yuan
Yuxuan Lou
J. Karlekar
Sugiri Pranata
Akira Kinose
Koki Oguri
Felix Wick
Yang You
LLMAG
54
32
0
06 Feb 2024
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting
  Mitigation Problem
Fine-tuning Reinforcement Learning Models is Secretly a Forgetting Mitigation Problem
Maciej Wolczyk
Bartłomiej Cupiał
M. Ostaszewski
Michal Bortkiewicz
Michal Zajkac
Razvan Pascanu
Lukasz Kuciñski
Piotr Milo's
CLL
48
13
0
05 Feb 2024
PoCo: Policy Composition from and for Heterogeneous Robot Learning
PoCo: Policy Composition from and for Heterogeneous Robot Learning
Lirui Wang
Jialiang Zhao
Yilun Du
Edward H. Adelson
Russ Tedrake
79
28
0
04 Feb 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning
Lanqing Li
Hai Zhang
Xinyu Zhang
Shatong Zhu
Junqiao Zhao
Junqiao Zhao
Pheng-Ann Heng
OffRL
43
7
0
04 Feb 2024
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement
  Learning and Large Language Models
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
M. Pternea
Prerna Singh
Abir Chakraborty
Y. Oruganti
M. Milletarí
Sayli Bapat
Kebei Jiang
OffRL
24
7
0
02 Feb 2024
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo
Zheyuan Hu
Charles Xu
You Liang Tan
Jacob Berg
Archit Sharma
S. Schaal
Chelsea Finn
Abhishek Gupta
Sergey Levine
OffRL
OnRL
34
41
0
29 Jan 2024
MResT: Multi-Resolution Sensing for Real-Time Control with
  Vision-Language Models
MResT: Multi-Resolution Sensing for Real-Time Control with Vision-Language Models
Saumya Saxena
Mohit Sharma
Oliver Kroemer
34
4
0
25 Jan 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
DittoGym: Learning to Control Soft Shape-Shifting Robots
Suning Huang
Boyuan Chen
Huazhe Xu
Vincent Sitzmann
42
3
0
24 Jan 2024
Open the Black Box: Step-based Policy Updates for Temporally-Correlated
  Episodic Reinforcement Learning
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
Ge Li
Hongyi Zhou
Dominik Roth
Serge Thilges
Fabian Otto
Rudolf Lioutikov
Gerhard Neumann
OffRL
27
7
0
21 Jan 2024
CLIP feature-based randomized control using images and text for multiple
  tasks and robots
CLIP feature-based randomized control using images and text for multiple tasks and robots
Kazuki Shibata
Hideki Deguchi
Shun Taguchi
26
1
0
18 Jan 2024
REValueD: Regularised Ensemble Value-Decomposition for Factorisable
  Markov Decision Processes
REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes
David Ireland
Giovanni Montana
43
3
0
16 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision
  Transformer
Solving Continual Offline Reinforcement Learning with Decision Transformer
Kaixin Huang
Li Shen
Chen Zhao
Chun Yuan
Dacheng Tao
CLL
OffRL
36
5
0
16 Jan 2024
Multitask Learning in Minimally Invasive Surgical Vision: A Review
Multitask Learning in Minimally Invasive Surgical Vision: A Review
Oluwatosin O. Alabi
Tom Kamiel Magda Vercauteren
Miaojing Shi
31
1
0
16 Jan 2024
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