Travelled to:
1 × United Kingdom
2 × USA
Collaborated with:
S.Ross A.Grubb K.Waugh B.D.Ziebart J.Zhou Y.Yue D.Dey
Talks about:
learn (2) equilibrium (1) submodular (1) algorithm (1) reinforc (1) contextu (1) problem (1) predict (1) identif (1) general (1)
Person: Drew Bagnell
DBLP: Bagnell:Drew
Contributed to:
Wrote 4 papers:
- ICML-c3-2013-RossZYDB #learning #policy #predict
- Learning Policies for Contextual Submodular Prediction (SR, JZ, YY, DD, DB), pp. 1364–1372.
- ICML-2012-RossB #identification #learning #modelling
- Agnostic System Identification for Model-Based Reinforcement Learning (SR, DB), p. 247.
- ICML-2011-GrubbB #algorithm #optimisation
- Generalized Boosting Algorithms for Convex Optimization (AG, DB), pp. 1209–1216.
- ICML-2011-WaughZB #equilibrium #problem
- Computational Rationalization: The Inverse Equilibrium Problem (KW, BDZ, DB), pp. 1169–1176.