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pro vyhledávání: '"Wang, Steven H."'
Autor:
Wang, Steven H., Scardigli, Antoine, Tang, Leonard, Chen, Wei, Levkin, Dimitry, Chen, Anya, Ball, Spencer, Woodside, Thomas, Zhang, Oliver, Hendrycks, Dan
Reading comprehension of legal text can be a particularly challenging task due to the length and complexity of legal clauses and a shortage of expert-annotated datasets. To address this challenge, we introduce the Merger Agreement Understanding Datas
Externí odkaz:
http://arxiv.org/abs/2301.00876
Autor:
Gleave, Adam, Taufeeque, Mohammad, Rocamonde, Juan, Jenner, Erik, Wang, Steven H., Toyer, Sam, Ernestus, Maximilian, Belrose, Nora, Emmons, Scott, Russell, Stuart
imitation provides open-source implementations of imitation and reward learning algorithms in PyTorch. We include three inverse reinforcement learning (IRL) algorithms, three imitation learning algorithms and a preference comparison algorithm. The im
Externí odkaz:
http://arxiv.org/abs/2211.11972
Autor:
Chen, Xin, Toyer, Sam, Wild, Cody, Emmons, Scott, Fischer, Ian, Lee, Kuang-Huei, Alex, Neel, Wang, Steven H, Luo, Ping, Russell, Stuart, Abbeel, Pieter, Shah, Rohin
Imitation learning often needs a large demonstration set in order to handle the full range of situations that an agent might find itself in during deployment. However, collecting expert demonstrations can be expensive. Recent work in vision, reinforc
Externí odkaz:
http://arxiv.org/abs/2205.07886
Autor:
Shah, Rohin, Wang, Steven H., Wild, Cody, Milani, Stephanie, Kanervisto, Anssi, Goecks, Vinicius G., Waytowich, Nicholas, Watkins-Valls, David, Prakash, Bharat, Mills, Edmund, Garg, Divyansh, Fries, Alexander, Souly, Alexandra, Shern, Chan Jun, del Castillo, Daniel, Lieberum, Tom
We held the first-ever MineRL Benchmark for Agents that Solve Almost-Lifelike Tasks (MineRL BASALT) Competition at the Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021). The goal of the competition was to promote researc
Externí odkaz:
http://arxiv.org/abs/2204.07123
Autor:
Shah, Rohin, Wild, Cody, Wang, Steven H., Alex, Neel, Houghton, Brandon, Guss, William, Mohanty, Sharada, Kanervisto, Anssi, Milani, Stephanie, Topin, Nicholay, Abbeel, Pieter, Russell, Stuart, Dragan, Anca
The last decade has seen a significant increase of interest in deep learning research, with many public successes that have demonstrated its potential. As such, these systems are now being incorporated into commercial products. With this comes an add
Externí odkaz:
http://arxiv.org/abs/2107.01969
Autor:
Wang, Steven H.1 shwang@ku.edu, Huggins, Donald G.2, Frees, Lyle3, Volkman, Chad G.3, Lim, Niang C.4, Baker, Debra S.5, Smith, Val6, Denoyelles Jr., Frank4
Publikováno v:
Water, Air & Soil Pollution. Jun2005, Vol. 164 Issue 1-4, p1-19. 19p.
