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Filtering by: Creator Boutilier, Jordan Advisor Dietterich, Thomas G.

Model-based approximation methods for reinforcement learning

Creator:

Wang, Xin

Abstract:

The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...

Resource Type:

Dissertation

Full Text:

(Ng et al., 2000). Boutilier et al.described symbolic value iteration and policy iteration algorithms
Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:

Alkaee Taleghan, Majid

Abstract:

This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...

Resource Type:

Dissertation
Activity recognition in desktop environments

Creator:

Shen, Jianqiang

Abstract:

Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...

Resource Type:

Dissertation