{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/crossmodal-attentive-skill-learner","title":"Crossmodal Attentive Skill Learner","arxiv_id":"1711.10314","date":"2017-11-28","proceeding":null,"authors":["Shayegan Omidshafiei","Dong-Ki Kim","Jason Pazis","Jonathan P. How"],"abstract":"This paper presents the Crossmodal Attentive Skill Learner (CASL), integrated\nwith the recently-introduced Asynchronous Advantage Option-Critic (A2OC)\narchitecture [Harb et al., 2017] to enable hierarchical reinforcement learning\nacross multiple sensory inputs. We provide concrete examples where the approach\nnot only improves performance in a single task, but accelerates transfer to new\ntasks. We demonstrate the attention mechanism anticipates and identifies useful\nlatent features, while filtering irrelevant sensor modalities during execution.\nWe modify the Arcade Learning Environment [Bellemare et al., 2013] to support\naudio queries, and conduct evaluations of crossmodal learning in the Atari 2600\ngame Amidar. Finally, building on the recent work of Babaeizadeh et al. [2017],\nwe open-source a fast hybrid CPU-GPU implementation of CASL.","url_abs":"http://arxiv.org/abs/1711.10314v3","url_pdf":"http://arxiv.org/pdf/1711.10314v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"crossmodal-attentive-skill-learner","repo_url":"https://github.com/shayegano/CASL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"atari-games","task_name":"Atari Games"},{"task_slug":null,"task_name":"CPU"},{"task_slug":null,"task_name":"GPU"},{"task_slug":"hierarchical-reinforcement-learning","task_name":"Hierarchical Reinforcement Learning"},{"task_slug":"reinforcement-learning","task_name":"Reinforcement Learning"},{"task_slug":"reinforcement-learning-1","task_name":"Reinforcement Learning (RL)"},{"task_slug":"reinforcement-learning-2","task_name":"reinforcement-learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}