# Bellman equation

## Papers overview

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2018

2018

- ICML
- 2018

We consider the exploration/exploitation problem in reinforcement learning. For exploitation, it is well known that the Bellman… (More)

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Review

2017

Review

2017

- ArXiv
- 2017

Reinforcement learning is considered to be a strong AI paradigm which can be used to teach machines through interaction with the… (More)

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Review

2017

Review

2017

- ArXiv
- 2017

We give an overview of recent exciting achievements of deep reinforcement learning (RL). We discuss six core elements, six… (More)

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2012

2012

- ArXiv
- 2012

We study utility maximization for power utility random fields with and without intermediate consumption in a general… (More)

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2012

2012

- IEEE Transactions on Automatic Control
- 2012

There is an increasing number of applications whose trajectories are better modeled by discontinuous or impulsive trajectories… (More)

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2009

2009

- 2009

In this article, an efficient algorithm for an optimal decision strategy approximation is introduced. It approximates the Bellman… (More)

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2007

2007

- HSCC
- 2007

In this paper we present a dynamic programming formulation of a hybrid optimal control problem for bimodal systems with regional… (More)

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Highly Cited

2003

Highly Cited

2003

- ICML
- 2003

We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a… (More)

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Highly Cited

1998

Highly Cited

1998

- 1998

In this paper we develop a new method to approximate the solution to the Hamilton-JacobiBellman (HJB) equation which arises in… (More)

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Highly Cited

1997

Highly Cited

1997

- Automatica
- 1997

In this paper we study the convergence of the Galerkin approximation method applied to the generalized Hamilton-Jacobi-Bellman… (More)

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