@json_yim You might like https://t.co/CB9JDFyZI8 , https://t.co/t0hHMzMS0u , https://t.co/LHww0prV2b - these laid some of the conceptual foundations a while back. Scaling these up with modern architectures would be likely quite interesting.
RT @rasbt: @bindureddy That's an interesting idea. Reminds me of the RNN + RL combos being used in the molecule synthesis space, e.g., Oliv…
@bindureddy That's an interesting idea. Reminds me of the RNN + RL combos being used in the molecule synthesis space, e.g., Olivecrona et al. 2017: "Molecular De-Novo Design through Deep Reinforcement Learning" https://t.co/nlJFDnMd2w https://t.co/RQc3pheT
RT @karl_leswing: @keeeto2000 @prashungorai @taylordsparks So no paper yet on the OLED like work. https://t.co/bXNjA8SKhO is for REINVENT…
RT @karl_leswing: @keeeto2000 @prashungorai @taylordsparks So no paper yet on the OLED like work. https://t.co/bXNjA8SKhO is for REINVENT…
@keeeto2000 @prashungorai @taylordsparks So no paper yet on the OLED like work. https://t.co/bXNjA8SKhO is for REINVENT, a sequence autoregressive model followed by reinforcement learning. https://t.co/Zkt3G7CRbf is applying the method to drug design (a
Molecular de-novo design through deep reinforcement learning | Journal of Cheminformatics | Full Text https://t.co/1MLJHwGe9p #qsar2019jp
RT @rguha: Next, took on project with ambitious goals - LO ready series in 1/2 time, 1/2 resources, driven by AI (aka generative model, htt…
Next, took on project with ambitious goals - LO ready series in 1/2 time, 1/2 resources, driven by AI (aka generative model, https://t.co/EAdqqUiyyL) #ACSSanDiego
RT @WendyAnneWarr: #shef2019 RNN and SMILES also published (by other teams in https://t.co/M5MnwAprWZ Liu’s ‘citation for ORGANIC is wrong.…
#shef2019 RNN and SMILES also published (by other teams in https://t.co/M5MnwAprWZ Liu’s ‘citation for ORGANIC is wrong. I will search
Molecular de-novo design through deep reinforcement learning https://t.co/ulAl3ESQFW #jcheminf #cbi404
New from @jcheminf https://t.co/RjeEyKkk1I
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @igbaskin: Molecular de-novo design through deep reinforcement learning https://t.co/5kkGUjAZHS #jcheminf
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
RT @jcheminf: new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
new: "Molecular de-novo design through deep reinforcement learning" https://t.co/moQ0rGvMPd https://t.co/14mimKOmFG
Molecular de-novo design through deep reinforcement learning https://t.co/5kkGUjAZHS #jcheminf