Simulating User Agents for Embodied Conversational-AI
专题命中 模仿学习与强化学习 :embodied agent(abstract);分类 cs.RO、cs.AI
Comments 8 pages, 5 figures, 4 tables
Journal ref NeurIPS 2024 Workshop on Open-World Agents
视觉与机器人
机器人、具身智能、机器人学习、操作、导航和具身世界模型。
专题命中 模仿学习与强化学习 :embodied agent(abstract);分类 cs.RO、cs.AI
Comments 8 pages, 5 figures, 4 tables
Journal ref NeurIPS 2024 Workshop on Open-World Agents
专题命中 模仿学习与强化学习 :navigation(abstract);分类 cs.RO、cs.AI
Comments Manuscript accepted in ACM Journal on Autonomous Transportation Systems
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.AI、cs.LG
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.RO、cs.LG
Comments This work has been submitted to the IEEE for possible publication
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.AI、cs.LG
Comments Ting-Hsuan Liao, Hsu-Shen Liu, Li-Yuan Tsao, Tzu-Wen Wang, and Shan-Ya Yang contributed equally to this work, names listed in alphabetical order; This work has been submitted to the IEEE for possible publication
Journal ref 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.AI、cs.LG
Comments v1 to v2: - Add a value function in MCTS - Some MCTS hyper-parameters changed - Repetition of experiments: improved accuracy and errors shown. (note the reduction in effect size for the tpt/cat experiment) - Results from a longer training run, including changes in expert strength in training - Comparison to MoHex. v3: clarify independence of ExIt and AG0. v4: see appendix E
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.LG
Comments 31 pages
Journal ref Neural Networks, 176(2024)
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
Comments 8 pages, 4 figures, submitted to IEEE RA-L
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
Comments Under review of TCPS
专题命中 模仿学习与强化学习 :manipulation(abstract);分类 cs.RO、cs.LG
Journal ref IEEE/RSJ International Conference on Intelligent Robots and Systems 2024
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
Comments Accepted TMLR 2024
专题命中 模仿学习与强化学习 :world model(abstract);分类 cs.RO、cs.LG
专题命中 模仿学习与强化学习 :world model(abstract);分类 cs.AI、cs.LG
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.AI、cs.LG
Comments Accepted for publication in The International Conference on Software Maintenance and Evolution (ICSME 2024)
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
Comments 8 pages, 7 figures
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.RO、cs.AI
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
Comments Accepted to ICRA 2024
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.RO、cs.AI
Comments 7 pages, 6 figures, submitted to ICRA 2025
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.RO、cs.LG
Comments 6 pages, 12 figures, 3 tables. To be presented in 10th IEEE International Smart Cities Conference (ISC2-2024)
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.LG
Comments The paper is based on an undergraduate thesis and is not intended for publication in a journal
专题命中 模仿学习与强化学习 :navigation(abstract);分类 cs.AI、cs.CV
专题命中 模仿学习与强化学习 :robot learning(abstract);分类 cs.RO、cs.LG
Comments CoRL 2024
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.AI、cs.LG
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.RO、cs.AI
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.RO、cs.AI
Comments 9 pages, 9 figures, 7 tables
Journal ref International Journal of Ad Hoc and Ubiquitous Computing Vol. 47, No. 1, Year: 2024
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.AI、cs.LG
Comments Paper accepted at 24th International Conference on Control, Automation and Systems (ICCAS)
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.AI、cs.LG
Comments arXiv admin note: text overlap with arXiv:2402.02042
Journal ref Foundations and Trends in Optimization: Vol. 6: No. 4, pp 193-298, 2024
专题命中 模仿学习与强化学习 :robotics(abstract);分类 cs.AI、cs.LG
Comments 33 pages, 4 figures
专题命中 模仿学习与强化学习 :robotic(abstract);分类 cs.AI、cs.LG