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

24 October 2019

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

50 / 801 papers shown

Title
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 37 0 0 09 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 31 0 0 07 Nov 2024
Problem Space Transformations for Generalisation in Behavioural Cloning Kiran Doshi Marco Bagatella Stelian Coros 38 0 0 06 Nov 2024
Pre-trained Visual Dynamics Representations for Efficient Policy Learning Hao Luo Bohan Zhou Zongqing Lu 30 1 0 05 Nov 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman Alexander Nikulin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov Andrei Polubarov Igor Kiselev Vladislav Kurenkov OffRL 53 1 0 04 Nov 2024
Role Play: Learning Adaptive Role-Specific Strategies in Multi-Agent Interactions Weifan Long Wen Wen Peng Zhai Lihua Zhang 31 0 0 02 Nov 2024
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning Ziqing Fan Shengchao Hu Yuhang Zhou Li Shen Ya Zhang Yanfeng Wang Dacheng Tao OffRL 39 0 0 02 Nov 2024
Teaching Embodied Reinforcement Learning Agents: Informativeness and Diversity of Language Use Jiajun Xi Yinong He Jianing Yang Yinpei Dai Joyce Chai LM&Ro 24 2 0 31 Oct 2024
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach Qiliang Chen Babak Heydari 24 0 0 30 Oct 2024
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation Yining Hong Beide Liu Maxine Wu Yuanhao Zhai Kai-Wei Chang ... Chung-Ching Lin Jianfeng Wang Zhengyuan Yang Yingnian Wu Lijuan Wang VGen 42 6 0 30 Oct 2024
Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation Daehee Lee Minjong Yoo Woo Kyung Kim Wonje Choi Honguk Woo CLL 96 3 0 30 Oct 2024
Robots Pre-train Robots: Manipulation-Centric Robotic Representation from Large-Scale Robot Datasets Guangqi Jiang Yifei Sun Tao Huang Huanyu Li Yongyuan Liang Huazhe Xu 25 4 0 29 Oct 2024
Robot Policy Learning with Temporal Optimal Transport Reward Yuwei Fu Haichao Zhang Di Wu Wei-ping Xu Benoit Boulet OffRL 45 1 0 29 Oct 2024
OGBench: Benchmarking Offline Goal-Conditioned RL Seohong Park Kevin Frans Benjamin Eysenbach Sergey Levine OffRL 53 9 0 26 Oct 2024
On-Robot Reinforcement Learning with Goal-Contrastive Rewards Ondrej Biza Thomas Weng Lingfeng Sun Karl Schmeckpeper Tarik Kelestemur Yecheng Jason Ma Robert Platt Jan-Willem van de Meent Lawson L. S. Wong OffRL 47 0 0 25 Oct 2024
EnvBridge: Bridging Diverse Environments with Cross-Environment Knowledge Transfer for Embodied AI Tomoyuki Kagaya Yuxuan Lou Thong Jing Yuan Subramanian Lakshmi J. Karlekar ... Natsuki Murakami Akira Kinose Koki Oguri Felix Wick Yang You 33 0 0 22 Oct 2024
Benchmarking Smoothness and Reducing High-Frequency Oscillations in Continuous Control Policies Guilherme Christmann Ying-Sheng Luo Hanjaya Mandala Wei-Chao Chen 23 0 0 22 Oct 2024
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning Vindula Jayawardana Baptiste Freydt Ao Qu Cameron Hickert Zhongxia Yan Cathy Wu 51 1 0 19 Oct 2024
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning Suning Huang Zheyu Zhang Tianhai Liang Yihan Xu Zhehao Kou Chenhao Lu Guowei Xu Zhengrong Xue Huazhe Xu MoE 44 2 0 19 Oct 2024
A Large Language Model-Driven Reward Design Framework via Dynamic Feedback for Reinforcement Learning Shengjie Sun Runze Liu Jiafei Lyu J. Yang L. Zhang Xiu Li LRM 22 7 0 18 Oct 2024
Latent Weight Diffusion: Generating Policies from Trajectories Shashank Hegde G. Salhotra Gaurav Sukhatme 25 0 0 17 Oct 2024
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement Zhi Wang Li Zhang Wenhao Wu Yuanheng Zhu Dongbin Zhao C. L. Philip Chen OffRL 39 6 0 15 Oct 2024
VideoAgent: Self-Improving Video Generation Achint Soni Sreyas Venkataraman Abhranil Chandra Sebastian Fischmeister Percy Liang Bo Dai Sherry Yang LM&Ro VGen 58 7 0 14 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 33 1 0 13 Oct 2024
TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning Ge Li Dong Tian Hongyi Zhou Xinkai Jiang Rudolf Lioutikov Gerhard Neumann OffRL 199 3 0 12 Oct 2024
Can we hop in general? A discussion of benchmark selection and design using the Hopper environment C. Voelcker Marcel Hussing Eric Eaton OffRL 31 3 0 11 Oct 2024
MAD-TD: Model-Augmented Data stabilizes High Update Ratio RL C. Voelcker Marcel Hussing Eric Eaton Amir-massoud Farahmand Igor Gilitschenski 41 1 0 11 Oct 2024
On the Evaluation of Generative Robotic Simulations Feng Chen Botian Xu Pu Hua Peiqi Duan Yanchao Yang Yi Ma Huazhe Xu VGen 42 0 0 10 Oct 2024
SPA: 3D Spatial-Awareness Enables Effective Embodied Representation Haoyi Zhu Honghui Yang Yating Wang Jiange Yang Limin Wang Tong He 3DH 51 6 0 10 Oct 2024
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation Fabian Paischer Lukas Hauzenberger Thomas Schmied Benedikt Alkin Marc Peter Deisenroth Sepp Hochreiter 37 4 0 09 Oct 2024
Retrieval-Augmented Decision Transformer: External Memory for In-context RL Thomas Schmied Fabian Paischer Vihang Patil M. Hofmarcher Razvan Pascanu Sepp Hochreiter OffRL 44 6 0 09 Oct 2024
Effective Exploration Based on the Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li 21 1 0 09 Oct 2024
Trajectory Improvement and Reward Learning from Comparative Language Feedback Zhaojing Yang Miru Jun J. Tien Stuart J. Russell Anca Dragan Erdem Bıyık 34 6 0 08 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 33 0 0 08 Oct 2024
On the Modeling Capabilities of Large Language Models for Sequential Decision Making Martin Klissarov Devon Hjelm Alexander Toshev Bogdan Mazoure LM&Ro ELM OffRL LRM 34 2 0 08 Oct 2024
Diffusion Imitation from Observation Bo-Ruei Huang Chun-Kai Yang Chun-Mao Lai Dai-Jie Wu Shao-Hua Sun 41 4 0 07 Oct 2024
Active Fine-Tuning of Generalist Policies Marco Bagatella Jonas Hübotter Georg Martius Andreas Krause 37 0 0 07 Oct 2024
Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation Paul Jansonnie Bingbing Wu Julien Perez Jan Peters SSL 25 0 0 07 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 38 1 0 07 Oct 2024
GenSim2: Scaling Robot Data Generation with Multi-modal and Reasoning LLMs Pu Hua Minghuan Liu Annabella Macaluso Yunfeng Lin Weinan Zhang Huazhe Xu Lirui Wang LM&Ro LRM 42 14 0 04 Oct 2024
MLLM as Retriever: Interactively Learning Multimodal Retrieval for Embodied Agents Junpeng Yue Xinru Xu Börje F. Karlsson Zongqing Lu 39 0 0 04 Oct 2024
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge Xiefeng Wu OffRL 34 1 0 02 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining Jie Cheng Ruixi Qiao Gang Xiong Binhua Li Yingwei Ma Binhua Li Yongbin Li Yisheng Lv OffRL OnRL LM&Ro 50 3 0 01 Oct 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers Lirui Wang Xinlei Chen Jialiang Zhao Kaiming He 36 34 0 30 Sep 2024
Task-agnostic Pre-training and Task-guided Fine-tuning for Versatile Diffusion Planner Chenyou Fan Chenjia Bai Zhao Shan Haoran He Yang Zhang Zhen Wang 33 3 0 30 Sep 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization Haoran Li Zhennan Jiang Yuhui Chen Dongbin Zhao OffRL 25 2 0 28 Sep 2024
Discrete Policy: Learning Disentangled Action Space for Multi-Task Robotic Manipulation Kun Wu Yichen Zhu Jinming Li Junjie Wen Ning Liu Zhiyuan Xu Qinru Qiu 45 4 0 27 Sep 2024
CANDERE-COACH: Reinforcement Learning from Noisy Feedback Yuxuan Li Srijita Das Matthew E. Taylor 16 0 0 23 Sep 2024
RACER: Rich Language-Guided Failure Recovery Policies for Imitation Learning Yinpei Dai Jayjun Lee Nima Fazeli Joyce Chai 41 11 0 23 Sep 2024
Scaling Diffusion Policy in Transformer to 1 Billion Parameters for Robotic Manipulation Minjie Zhu Yichen Zhu Jinming Li Junjie Wen Zhiyuan Xu ... Ran Cheng Chaomin Shen Yaxin Peng Feifei Feng Jian Tang 38 13 0 22 Sep 2024