Travelled to:
1 × Canada
1 × Finland
1 × Germany
1 × Israel
1 × United Kingdom
10 × USA
2 × China
Collaborated with:
D.Precup ∅ H.v.Seijen D.Silver S.P.Singh B.Tanner P.Stone S.D.Whitehead C.J.Matheus H.R.Maei C.Szepesvári S.Bhatnagar T.Degris M.White M.Müller A.Koop S.Dasgupta A.R.Mahmood H.v.Hasselt M.Cutumisu D.Szafron M.H.Bowling E.Wiewiora
Talks about:
learn (12) polici (5) function (4) approxim (4) tempor (4) off (4) differ (3) plan (3) reinforc (2) gradient (2)
Person: Richard S. Sutton
DBLP: Sutton:Richard_S=
Contributed to:
Wrote 20 papers:
- ICML-c1-2014-SeijenS #online
- True Online TD(λ) (HvS, RSS), pp. 692–700.
- ICML-c2-2014-SuttonMPH #equivalence #monte carlo
- A new Q(λ) with interim forward view and Monte Carlo equivalence (RSS, ARM, DP, HvH), pp. 568–576.
- ICML-c3-2013-SeijenS
- Planning by Prioritized Sweeping with Small Backups (HvS, RSS), pp. 361–369.
- ICML-2012-DegrisWS #linear
- Linear Off-Policy Actor-Critic (TD, MW, RSS), p. 28.
- ICML-2010-MaeiSBS #approximate #learning #towards
- Toward Off-Policy Learning Control with Function Approximation (HRM, CS, SB, RSS), pp. 719–726.
- ICML-2009-SuttonMPBSSW #approximate #learning #linear #performance
- Fast gradient-descent methods for temporal-difference learning with linear function approximation (RSS, HRM, DP, SB, DS, CS, EW), pp. 993–1000.
- ICML-2008-SilverSM #learning
- Sample-based learning and search with permanent and transient memories (DS, RSS, MM), pp. 968–975.
- ICML-2007-SuttonKS #on the
- On the role of tracking in stationary environments (RSS, AK, DS), pp. 871–878.
- ICML-2005-TannerS #network
- TD(λ) networks: temporal-difference networks with eligibility traces (BT, RSS), pp. 888–895.
- ICML-2001-PrecupSD #approximate #difference #learning
- Off-Policy Temporal Difference Learning with Function Approximation (DP, RSS, SD), pp. 417–424.
- ICML-2001-StoneS #learning #scalability #towards
- Scaling Reinforcement Learning toward RoboCup Soccer (PS, RSS), pp. 537–544.
- ICML-2000-PrecupSS #evaluation #policy
- Eligibility Traces for Off-Policy Policy Evaluation (DP, RSS, SPS), pp. 759–766.
- ICML-1998-SuttonPS #learning
- Intra-Option Learning about Temporally Abstract Actions (RSS, DP, SPS), pp. 556–564.
- ICML-1997-PrecupS #learning
- Exponentiated Gradient Methods for Reinforcement Learning (DP, RSS), pp. 272–277.
- ICML-1995-Sutton #modelling
- TD Models: Modeling the World at a Mixture of Time Scales (RSS), pp. 531–539.
- ICML-1993-SuttonW #learning #online #random
- Online Learning with Random Representations (RSS, SDW), pp. 314–321.
- ML-1991-Sutton #incremental #programming
- Planning by Incremental Dynamic Programming (RSS), pp. 353–357.
- ML-1991-SuttonM #learning #polynomial
- Learning Polynomial Functions by Feature Construction (RSS, CJM), pp. 208–212.
- ML-1990-Sutton #approximate #architecture #learning #programming
- Integrated Architectures for Learning, Planning, and Reacting Based on Approximating Dynamic Programming (RSS), pp. 216–224.
- AIIDE-2008-CutumisuSBS #game studies #learning #using
- Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games (MC, DS, MHB, RSS).