机器人 / 具身智能 - arXivDaily 专题

2404.01557 2024-04-03 cs.MA cs.AI cs.LG cs.RO 67%

Distributed Autonomous Swarm Formation for Dynamic Network Bridging

Raffaele Galliera, Thies Möhlenhof, Alessandro Amato, Daniel Duran, Kristen Brent Venable, Niranjan Suri

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments 6 pages, 3 figures, 1 table, 1 algorithm

2010.08755 2024-04-03 cs.LG cs.CV cs.RO 67%

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning

Chenjia Bai, Peng Liu, Kaiyu Liu, Lingxiao Wang, Yingnan Zhao, Lei Han

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.CV、cs.LG

Comments IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2021

2403.06003 2024-03-12 cs.RO cs.AI cs.LG 67%

A Generalized Acquisition Function for Preference-based Reward Learning

Evan Ellis, Gaurav R. Ghosal, Stuart J. Russell, Anca Dragan, Erdem Bıyık

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.AI、cs.LG

2310.08887 2024-03-12 cs.LG cs.AI cs.RO 67%

METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Seohong Park, Oleh Rybkin, Sergey Levine

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments ICLR 2024

2310.17552 2024-03-11 cs.RO cs.AI cs.LG 67%

Model-Based Runtime Monitoring with Interactive Imitation Learning

Huihan Liu, Shivin Dass, Roberto Martín-Martín, Yuke Zhu

专题命中模仿学习与强化学习：robot learning(abstract)；分类 cs.RO、cs.AI、cs.LG

2309.08776 2024-03-07 cs.LG cs.AI cs.RO 67%

Projected Task-Specific Layers for Multi-Task Reinforcement Learning

Josselin Somerville Roberts, Julia Di

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Journal ref ICRA 2024

2311.02013 2024-03-01 cs.LG cs.AI cs.RO 67%

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments Published at International Conference of Learning Representations (ICLR) 2024. 26 pages

2402.05546 2024-02-09 cs.LG cs.AI cs.RO 67%

Offline Actor-Critic Reinforcement Learning Scales to Large Models

Jost Tobias Springenberg, Abbas Abdolmaleki, Jingwei Zhang, Oliver Groth, Michael Bloesch, Thomas Lampe, Philemon Brakel, Sarah Bechtle, Steven Kapturowski, Roland Hafner, Nicolas Heess, Martin Riedmiller

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.AI、cs.LG

2310.07433 2024-02-08 cs.RO cs.AI cs.LG 67%

Imitation Learning from Observation with Automatic Discount Scheduling

Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin, Chongjie Zhang, Yang Gao

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments Accepted by ICLR 2024

2302.08560 2024-01-29 cs.LG cs.AI cs.RO 67%

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning

Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments Published as a conference paper (spotlight) at ICLR 2024. 48 pages

2401.14488 2024-01-29 cs.LG cs.AI cs.RO 67%

Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research

Jan Dohmen, Frank Röder, Manfred Eppe

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

2312.03395 2023-12-07 cs.RO cs.AI cs.LG 67%

Diffused Task-Agnostic Milestone Planner

Mineui Hong, Minjae Kang, Songhwai Oh

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments 37th Conference on Neural Information Processing Systems

2311.15951 2023-11-29 cs.LG cs.AI cs.RO 67%

Replay across Experiments: A Natural Extension of Off-Policy RL

Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

2303.14889 2023-11-20 cs.LG cs.AI cs.RO 67%

Model-Based Reinforcement Learning with Isolated Imaginations

Minting Pan, Xiangming Zhu, Yitao Zheng, Yunbo Wang, Xiaokang Yang

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments arXiv admin note: text overlap with arXiv:2205.13817

2311.06673 2023-11-14 cs.LG cs.AI cs.RO 67%

Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination

Lu Wen, Songan Zhang, H. Eric Tseng, Huei Peng

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.RO、cs.AI、cs.LG

2311.03651 2023-11-08 cs.LG cs.AI cs.RO 67%

SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations

Chan Kim, Jaekyung Cho, Christophe Bobda, Seung-Woo Seo, Seong-Woo Kim

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments 9 pages, 5 figures. Proceedings of the 32nd International Joint Conference on Artificial Intelligence, 2023

2309.00082 2023-10-26 cs.LG cs.AI cs.RO 67%

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.RO、cs.AI、cs.LG

2309.17227 2023-10-02 cs.RO cs.AI cs.LG 67%

MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy

Zhanpeng He, Matei Ciocarlie

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

2303.05193 2023-09-26 cs.RO cs.AI cs.LG 67%

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning

Yaru Niu, Shiyu Jin, Zeqing Zhang, Jiacheng Zhu, Ding Zhao, Liangjun Zhang

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

2309.07168 2023-09-15 cs.LG cs.AI cs.FL cs.RO 67%

Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis

Mehdi Zadem, Sergio Mover, Sao Mai Nguyen

专题命中模仿学习与强化学习：navigation(abstract)；分类 cs.RO、cs.AI、cs.LG

Journal ref Intrinsically Motivated Open-ended Learning IMOL 2023, Sep 2023, Paris, France

2309.00296 2023-09-04 cs.RO cs.AI cs.LG 67%

End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing

Meraj Mammadov

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments 6 pages

2306.13872 2023-07-25 cs.RO cs.AI cs.LG 67%

Learning from Pixels with Expert Observations

Minh-Huy Hoang, Long Dinh, Hai Nguyen

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments Accepted at IROS-2023 (Detroit, USA), the first two authors contributed equally

2307.05979 2023-07-13 cs.LG cs.AI cs.CV 67%

Transformers in Reinforcement Learning: A Survey

Pranav Agarwal, Aamer Abdul Rahman, Pierre-Luc St-Charles, Simon J. D. Prince, Samira Ebrahimi Kahou

专题命中模仿学习与强化学习：robotics(abstract)；分类 cs.AI、cs.CV、cs.LG

Comments 35 pages, 11 figures

2303.04356 2023-07-04 cs.LG cs.AI cs.RO 67%

Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint

Taisuke Kobayashi

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments 10 pages, 9 figures

2302.03122 2023-07-04 cs.LG cs.AI cs.RO 67%

State-wise Safe Reinforcement Learning: A Survey

Weiye Zhao, Tairan He, Rui Chen, Tianhao Wei, Changliu Liu

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments IJCAI Survey Track 2023

2306.13630 2023-06-26 cs.RO cs.AI cs.LG 67%

Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills

Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro

专题命中模仿学习与强化学习：robotic(abstract)；分类 cs.RO、cs.AI、cs.LG

2210.10763 2023-06-16 cs.LG cs.CV cs.RO 67%

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning

Yifan Xu, Nicklas Hansen, Zirui Wang, Yung-Chieh Chan, Hao Su, Zhuowen Tu

专题命中模仿学习与强化学习：world model(abstract)；分类 cs.RO、cs.CV、cs.LG

Comments Project page with code: https://nicklashansen.github.io/xtra

2305.09943 2023-06-12 cs.LG cs.AI cs.RO 67%

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

Jigang Kim, Daesol Cho, H. Jin Kim

专题命中模仿学习与强化学习：embodied agent(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments ICML 2023, first two authors contributed equally

2305.14343 2023-05-31 cs.LG cs.AI cs.CV 67%

Video Prediction Models as Rewards for Reinforcement Learning

Alejandro Escontrela, Ademi Adeniji, Wilson Yan, Ajay Jain, Xue Bin Peng, Ken Goldberg, Youngwoon Lee, Danijar Hafner, Pieter Abbeel

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.AI、cs.CV、cs.LG

Comments 22 pages, 18 figures, 4 tables. under review

2210.07426 2023-05-29 cs.LG cs.AI cs.RO 67%

Skill-Based Reinforcement Learning with Intrinsic Reward Matching

Ademi Adeniji, Amber Xie, Pieter Abbeel

专题命中模仿学习与强化学习：manipulation(abstract)；分类 cs.RO、cs.AI、cs.LG

Comments 16 pages

1. 模仿学习与强化学习 4113 篇

Distributed Autonomous Swarm Formation for Dynamic Network Bridging

Variational Dynamic for Self-Supervised Exploration in Deep Reinforcement Learning

A Generalized Acquisition Function for Preference-based Reward Learning

METRA: Scalable Unsupervised RL with Metric-Aware Abstraction

Model-Based Runtime Monitoring with Interactive Imitation Learning

Projected Task-Specific Layers for Multi-Task Reinforcement Learning

SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

Offline Actor-Critic Reinforcement Learning Scales to Large Models

Imitation Learning from Observation with Automatic Discount Scheduling

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning

Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research

Diffused Task-Agnostic Milestone Planner

Replay across Experiments: A Natural Extension of Off-Policy RL

Model-Based Reinforcement Learning with Isolated Imaginations

Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination

SeRO: Self-Supervised Reinforcement Learning for Recovery from Out-of-Distribution Situations

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning

Goal Space Abstraction in Hierarchical Reinforcement Learning via Reachability Analysis

End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing

Learning from Pixels with Expert Observations

Transformers in Reinforcement Learning: A Survey

Soft Actor-Critic Algorithm with Truly-satisfied Inequality Constraint

State-wise Safe Reinforcement Learning: A Survey

Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning

Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum

Video Prediction Models as Rewards for Reinforcement Learning

Skill-Based Reinforcement Learning with Intrinsic Reward Matching