Travelled to:1 × Canada
1 × Germany
1 × Slovenia
6 × USA
Collaborated with:∅ Y.Chang W.D.Smart H.Shatkay T.Lozano-Pérez H.Pasula L.S.Zettlemoyer P.Ju Y.Singer L.Peshkin N.Meuleau M.L.Littman A.R.Cassandra Owen Macindoe Truong-Huy Dinh Nguyen D.Hsu W.S.Lee T.Leong Andrew Haydn Grant
Talks about:learn (9) plan (3) reinforc (2) polici (2) space (2) electromyograph (1) probabilist (1) preliminari (1) framework (1) stochast (1)
Person: Leslie Pack Kaelbling
DBLP: Kaelbling:Leslie_Pack
Contributed to:
2005
20042000199919981995199319901989
20112012Wrote 12 papers:
- ICML-2005-ChangK #learning
- Hedged learning: regret-minimization with learning experts (YHC, LPK), pp. 121–128.
- KR-2004-PasulaZK #learning #probability #relational
- Learning Probabilistic Relational Planning Rules (HP, LSZ, LPK), pp. 683–691.
- ICML-2000-JuKS #classification #gesture
- State-based Classification of Finger Gestures from Electromyographic Signals (PJ, LPK, YS), pp. 439–446.
- ICML-2000-SmartK #learning
- Practical Reinforcement Learning in Continuous Spaces (WDS, LPK), pp. 903–910.
- ICML-1999-PeshkinMK #learning #memory management #policy
- Learning Policies with External Memory (LP, NM, LPK), pp. 307–314.
- ICML-1998-ShatkayK
- Heading in the Right Direction (HS, LPK), pp. 531–539.
- ICML-1995-LittmanCK #learning #policy #scalability
- Learning Policies for Partially Observable Environments: Scaling Up (MLL, ARC, LPK), pp. 362–370.
- ICML-1993-Kaelbling #learning #probability
- Hierarchical Learning in Stochastic Domains: Preliminary Results (LPK), pp. 167–173.
- ML-1990-Kaelbling #learning
- Learning Functions in k-DNF from Reinforcement (LPK), pp. 162–169.
- ML-1989-Kaelbling #embedded #framework #learning
- A Formal Framework for Learning in Embedded Systems (LPK), pp. 350–353.
- AIIDE-2011-NguyenHLLKLG #collaboration #named #recognition
- CAPIR: Collaborative Action Planning with Intention Recognition (THDN, DH, WSL, TYL, LPK, TLP, AHG).
- AIIDE-2012-MacindoeKL #game studies #named
- POMCoP: Belief Space Planning for Sidekicks in Cooperative Games (OM, LPK, TLP).