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http://web.engr.oregonstate.edu/%7Etadepall/papers/Proper06Scaling.pdf
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery Scott Proper1 and Prasad Tadepalli2 1 Oregon State University, Corvallis, OR 97331-3202, USA, [email protected] 2 [email protected] Abstract. Reinforcement learning in real-world domains suffers from
https://www.researchgate.net/publication/221112401_Scaling_Model-Based_Average-Reward_Reinforcement_Learning_for_Product_Delivery
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery. ... we introduce a model-based Averagereward Reinforcement Learning method called H-learning and show that it ...
https://link.springer.com/chapter/10.1007%2F11871842_74
To deal with high stochasticity, we introduce a new algorithm called ASH-learning, which is an afterstate version of H-Learning. Our extensions make it practical to apply reinforcement learning to a domain of product delivery – an optimization problem that combines inventory control and vehicle routing.Author: Scott Proper, Prasad Tadepalli
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.2231
product delivery model-based average-reward reinforcement learning high stochasticity afterstate version inventory control real-world domain suffers vehicle routing optimization problem present approach new algorithm action space linear value function action space complexity tabular linear function state-space explosion complete joint action ...
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.134.6960
product delivery average-reward reinforcement learning state space standard approach model-based averagereward algorithm real-world domain suffers order-of-magnitude speedup present experimental result action space execution time high stochasticity partial solution
https://github.com/pankajb64/rl-pdt
Evaluating Average-Reward Reinforcement Learning on the Product Delivery Domain - pankajb64/rl-pdt ... pankajb64/rl-pdt. Evaluating Average-Reward Reinforcement Learning on the Product Delivery Domain - pankajb64/rl-pdt. ... Scott Proper and Prasad Tadepalli. Scaling model-based average-reward reinforcement learning for product delivery. In ...
https://core.ac.uk/display/24436212
Scaling Model-Based Average-Reward Reinforcement Learning for Product Delivery . By Scott Proper and Prasad Tadepalli. Abstract. Abstract. Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity. We present approaches that mitigate each of these curses.Author: Scott Proper and Prasad Tadepalli
https://www.sciencedirect.com/science/article/pii/S0004370298000022
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discounted total reward received by an agent, while, in many domains, the natural …Author: Prasad Tadepalli, DoKyeong Ok
https://link.springer.com/referenceworkentry/10.1007/978-0-387-30164-8_49
Reinforcement learning (RL) is the study of programs that improve their performance at some task by receiving rewards and punishments from the environment (Sutton & Barto, 1998).RL has been quite successful in automatic learning of good procedures for complex tasks such as playing Backgammon and scheduling elevators (Tesauro, 1992; Crites & Barto, 1998).
https://www.researchgate.net/profile/Scott_Proper/publication/240749524_A_Reinforcement_Learning_Approach_for_Product_Delivery_by_Multiple_Vehicles/links/0a85e5367da00d9d1f000000.pdf?inViewer=0&pdfJsDownload=0&origin=publication_detail
A Reinforcement Learning Approach for Product Delivery by Multiple Vehicles Scott Proper+, Prasad Tadepalli+, Hong Tang+, and Rasaratnam Logendran* +Department of Computer Science Oregon State ...
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