Stem apprenticeship$ (all stems)
12 papers:
- ITiCSE-2013-VihavainenVLK #case study #experience
- Massive increase in eager TAs: experiences from extreme apprenticeship-based CS1 (AV, TV, ML, JK), pp. 123–128.
- ICML-2012-MakinoT #learning #parametricity
- Apprenticeship Learning for Model Parameters of Partially Observable Environments (TM, JT), p. 117.
- ITiCSE-2011-VihavainenPLK #scalability
- Extreme apprenticeship method: key practices and upward scalability (AV, MP, ML, JK), pp. 273–277.
- ICML-2011-BabesMLS #learning #multi
- Apprenticeship Learning About Multiple Intentions (MB, VNM, KS, MLL), pp. 897–904.
- ICML-2010-WalshSLD #learning
- Generalizing Apprenticeship Learning across Hypothesis Classes (TJW, KS, MLL, CD), pp. 1119–1126.
- ITiCSE-2008-Long #scalability #student
- Scalable apprenticeships: reconnecting students through technology (PDL), pp. 3–4.
- ICML-2008-SyedBS #learning #linear #programming #using
- Apprenticeship learning using linear programming (US, MHB, RES), pp. 1032–1039.
- ICML-2005-AbbeelN #learning
- Exploration and apprenticeship learning in reinforcement learning (PA, AYN), pp. 1–8.
- ICML-2004-PieterN #learning
- Apprenticeship learning via inverse reinforcement learning (PA, AYN).
- ITiCSE-2000-Chalk #learning #re-engineering #using
- Apprenticeship learning of software engineering using Webworlds (PC), pp. 112–115.
- HCI-CCAD-1999-PatelKR #learning
- Cognitive apprenticeship based learning environment in numeric domains (AP, K, DR), pp. 637–641.
- SEKE-1995-LiangT #domain model #learning #modelling
- Apprenticeship Learning of Domain Models (YL, GT), pp. 54–62.