Dataset Groups Activity Stream Model Imitation for Model-Based Reinforcement Learning Model-based reinforcement learning (MBRL) aims to learn a dynamic model to reduce the number of interactions with real-world environments. BibTex: @dataset{Yueh-Hua_Wu_and_Ting-Han_Fan_and_Peter_J_Ramadge_and_Hao_Su_2024, abstract = {Model-based reinforcement learning (MBRL) aims to learn a dynamic model to reduce the number of interactions with real-world environments.}, author = {Yueh-Hua Wu and Ting-Han Fan and Peter J. Ramadge and Hao Su}, doi = {10.57702/exed8x23}, institution = {No Organization}, keyword = {'Model-based reinforcement learning', 'Transition model', 'Wasserstein GAN'}, month = {dec}, publisher = {TIB}, title = {Model Imitation for Model-Based Reinforcement Learning}, url = {https://service.tib.eu/ldmservice/dataset/model-imitation-for-model-based-reinforcement-learning}, year = {2024} }
