Person: Bruno Scherrer

DBLP: Scherrer:Bruno

Contributed to:

2015

2014

2012

2011

2010

2003

2002

Wrote 11 papers:

ICML-2015-LesnerS #approximate #policy

Non-Stationary Approximate Modified Policy Iteration (BL, BS), pp. 1567–1575.

ICML-2015-PerolatSPP #approximate #game studies #markov #programming

Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games (JP, BS, BP, OP), pp. 1321–1329.

ICML-2015-TagortiS #bound #convergence #fault #on the

On the Rate of Convergence and Error Bounds for LSTD(λ) (MT, BS), pp. 1521–1529.

ICML-c2-2014-Scherrer #approximate #comparison #policy

Approximate Policy Iteration Schemes: A Comparison (BS), pp. 1314–1322.

ICML-2012-GeistSLG #approach #difference #learning

A Dantzig Selector Approach to Temporal Difference Learning (MG, BS, AL, MG), p. 49.

ICML-2012-ScherrerGGG #approximate #policy

Approximate Modified Policy Iteration (BS, VG, MG, MG), p. 245.

ICML-2011-GabillonLGS #classification #policy

Classification-based Policy Iteration with a Critic (VG, AL, MG, BS), pp. 1049–1056.

ICML-2010-Scherrer #difference #fixpoint #perspective

Should one compute the Temporal Difference fix point or minimize the Bellman Residual? The unified oblique projection view (BS), pp. 959–966.

ICML-2010-ThieryS #policy #problem #trade-off

Least-Squares Policy Iteration: Bias-Variance Trade-off in Control Problems (CT, BS), pp. 1071–1078.

ICEIS-v2-2003-ChadesSC #markov #multi #process #using

Planning Cooperative Homogeneous Multiagent Systems Using Markov Decision Processes (IC, BS, FC), pp. 426–429.

SAC-2002-ChadesSC #approach #assessment #heuristic #problem

A heuristic approach for solving decentralized-POMDP: assessment on the pursuit problem (IC, BS, FC), pp. 57–62.