![]() ![]() 1 From the Department of Hematology, University of Turin, Turin, Italy (A.P.) the Division of Hematology and Medical Oncology, Mayo Clinic Florida, Jacksonville (A.C.-K.) Universitaetsklinikum Tuebingen der Eberhard-Karls-Universitaet, Abteilung fuer Innere Medizin II, Tuebingen (K.W.), and University Medical Center of the Johannes Gutenberg-University, Third Department of Medicine, Mainz (M.M.) - both in Germany Winship Cancer Institute, Emory University, Atlanta (A.K.N.) the Department of Hematology and Stem Cell Transplantation, St.| |- sampler.Andrew Spencer, Jane Estell, Hang Quach, Noemi Horvath, Nick Murphy, Bradley Augustson, Cindy Lee, Maura Romeo, Vladmir de Lima, Nelson Castro, Nelson Hamerschlak, Vania Hungria, Wolney Barreto, Carlos Eduardo Miguel, Marcelo Capra, Ludek Pour, Vladimír Maisnar, Roman Hajek, Ivan Spicka, Evžen Gregora, Monika Engelhardt, Roland Repp, Martina Teichmann, Roland Fenk, Markus Munder, Christian Langer, Wolfram Jung, Mascha Binder, Florian Bassermann, Katja Weisel, Matthias Vohringer, Stefan Knop, Martin Schmidt-Hieber, Elvira Altai, Zsolt Nagy, Arpad Szomor, Zoltan Gasztonyi, Arpad Illes, Tamas Masszi, Angelo Michele Carella, Antonio Palumbo, Roberto Foa, Pellegrino Musto, Michele Cavo, Paolo Corradini, Francesco Di Raimondo, Alberto Bosi, Alessandro Corso, Felicetto Ferrara, Nicola Cascavilla, Alessandro Rambaldi, ChangKi Min, Ho-Jin Shin, ByungSoo Kim, Jejung Lee, JoonSeong Park, Yeung Chul Mun, Dok Hyun Yoon, Jae-Cheol Jo, Roberto Ovilla, David Gomez, Liane Te Boome, Alexandra Johanna Croockewit, Gerard Bos, P A Von Dem Borne, E Vellenga, Saskia Klein, Mark-David Levin, M Westerman, Sebastian Grosicki, Mieczyslaw Komarnicki, Slawomira Kyrcz-Krzemien, Artur Jurczyszyn, Jan Walewski, Krzysztof Warzocha, Olga Samoilova, Nuriet Khuazheva, Alexander Pristupa, Viktor Rossiev, Vladimir Melnichenko, Tatiana Chagorova, Olga Serduk, Dmitry Udovitsa, Vladimir Vladimirov, Andrey Proydakov, Javier De la Rubia, Isidro Jarque, Maria Victoria Mateos, Joaquin Martinez, Eugenio Gimenez, Felipe Casado, Maria Jesus Blanchard, Jose Angel Hernandez Rivas, Birgitta Lauri, Karin Forsberg, Bertil Uggla, Kristina Carlsson, Markus Hansson, Lucia Ahlberg, Maria Strandberg, Peter Kragsbjerg, Ali Unal, Meral Beksac, Emin Kaya, Abdullah Hacihanefioglu, Seckin Cagirgan, Tulin Tuglular, Sevgi Besisik, Halyna Pylypenko, Borys Samura, Nataliia Glushko, Polina Kaplan, Zvenyslava Masliak, Evgeniy Karamanesht, Sibirina Korenkova, Igor Skrypnyk, Hanna Oliynyk, Iryna Dyagil, Michael Bar, Suzanne Lentzsch, Mouhammed Jameel Kyasa, Brea Lipe, Diego de Idiaquez, Asher Chanan Khan, Leonard Klein, William Bensinger, Damian J Green, Brendan Weiss, Ajay Nooka, Kent H Holland, Tomer Mark, Peter M Voorhees, Eric Winer, Gordan Srkalovic, Robert Vescio, Eva Medvedova, Thomas Cosgriff, Jacob Laubach | |- replay_buffer.py # her replay buffer with future sampling strategy | |- policy.py # basic actor implementations | |- distributions.py # pytorch distribution utils for density model | |- critic.py # basic critic implementations (eg MLP-based critic) |- modules # reusable architecture components | |- agent # configs for each algorithm (dex, ddpg, ddpgbc, etc.) | |- train.yaml # configs for rl training | |- logger.py # implements core logging functionality using wandB | |- normalizer.py # normalizer for vectorized input | |- checkpointer.py # handles saving + loading of model checkpoints |- components # reusable infrastructure for model training ![]() |- agents # implements core algorithms in agent classes We will make our code more generalizable in the future. If no similar interface is provided, some modifications should be made to make it compatible, e.g., replay buffer and sampling utilities. Our code is designed for standard goal-conditioned gym-based environments and can be easily transfered to other platform if provide the same interfaces (e.g., OpenAI gym fetch). When implementation is done, a registration is needed in factory.py and a config file should also be made in agent to specify the model parameters. Networks (actor, critic etc) need to be constructed and the update(.) function and get_action(.) needs to be overwritten. For adding a new algorithm, a new file needs to be created inĭex/agents and BaseAgent needs to be subclassed. The core RL algorithms are implemented within the BaseAgent class. Python3 train.py task=NeedleRegrasp-v0 agent=dex use_wb=True batch_size=256 x_weight=10 Adding a new RL algorithm ![]()
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