Dataset Groups Activity Stream NeoRL A near real-world benchmark for offline RL, which contains datasets from various domains with controlled sizes, and extra test datasets for policy validation. BibTex: @dataset{Rongjun_Qin_and_Songyi_Gao_and_Xingyuan_Zhang_and_Zhen_Xu_and_Shengkai_Huang_and_Zewen_Li_and_Weinan_Zhang_and_Yang_Yu_2024, abstract = {A near real-world benchmark for offline RL, which contains datasets from various domains with controlled sizes, and extra test datasets for policy validation.}, author = {Rongjun Qin and Songyi Gao and Xingyuan Zhang and Zhen Xu and Shengkai Huang and Zewen Li and Weinan Zhang and Yang Yu}, doi = {10.57702/e37gcaan}, institution = {No Organization}, keyword = {'batch reinforcement learning', 'deep offline RL', 'near real-world benchmark', 'off-policy learning', 'policy validation', 'reinforcement learning', 'robotics'}, month = {dec}, publisher = {TIB}, title = {NeoRL}, url = {https://service.tib.eu/ldmservice/dataset/neorl}, year = {2024} }
