In this paper, we propose Value Iteration Network for Reward Shaping (VIN-RS), a potential-based reward shaping mechanism using Convolutional Neural Network ...
Oct 30, 2022 · The CNN processes images or graphs of the environment to predict the shaping values. Recent work on reward shaping still has limitations towards ...
Nov 8, 2023 · It is concluded that reward shaping is enhanced by the message-passing mechanism in directed graph convolutional networks. A further analysis is ...
In this paper, we propose Value Iteration Network for Reward Shaping (VIN-RS), a potential-based reward shaping mechanism using Convolutional Neural Network ...
In this paper, we propose Value Iteration Network for Reward Shaping (VIN-RS), a potential-based reward shaping mechanism using Convolutional Neural Network ...
Potential-based reward shaping provides an approach for designing good reward functions, with the purpose of speeding up learning.
In this paper, we propose Value Iteration Network for Reward Shaping (VIN-RS), a potential-based reward shaping mechanism using Convolutional Neural Network ...
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In this paper, a novel approach called directed graph convolution neural networks for reward shaping φDCN has been proposed to tackle this problem. The key ...
Demonstrations from a teacher are used to shape a potential reward function by training a deep supervised convolutional neural network. The shaped function is ...
Mar 14, 2022 · My question is : Is it normal to have such a process in industry ? Is it healthy to modify the reward so often and to rely almost only on qualitative results ?
Missing: Convolutional Neural Network.