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Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control
Christian Schroeder de Witt et al.: https://arxiv.org/abs/2003.06709
#MachineLearning #ArtificialIntelligence #ReinforcementLearning
Hi everybody,

I'm looking for any open source information related to this work by Maksym Korablyov:

"Reinforcement learning for predicting protein-ligand binding position and affinity"

Thank you.

#DeepLearning #DrugDiscovery #ReinforcementLearning
RLlib: Scalable Reinforcement Learning
RLlib is an open-source library for reinforcement learning that offers both high scalability and a unified API for a variety of applications.
RLlib natively supports TensorFlow, TensorFlow Eager, and PyTorch, but most of its internals are framework agnostic.
The Ray Team : https://ray.readthedocs.io/en/latest/rllib.html
#ReinforcementLearning #PyTorch #TensorFlow
Using Reinforcement Learning in the Algorithmic Trading Problem
Ponomarev et al.: https://arxiv.org/abs/2002.11523
#DeepLearning #ReinforcementLearning #Trading