Accelerating Drugs Discovery with Deep Reinforcement Learning: An Early Approach.
Antonio SerranoBaldomero ImbernónHoracio Pérez SánchezJosé M. CeciliaAndrés Bueno-CrespoJosé L. AbellánPublished in: ICPP Workshops (2018)
Keyphrases
- reinforcement learning
- state space
- function approximation
- learning algorithm
- knowledge discovery
- optimal policy
- temporal difference learning
- multi agent
- model free
- data mining
- optimal control
- scientific discovery
- objective function
- discovery process
- drug design
- artificial intelligence
- reinforcement learning algorithms
- deep learning
- real robot
- drug discovery
- transfer learning
- learning agents
- reinforcement learning methods
- multi agent reinforcement learning
- learning capabilities
- temporal difference
- markov decision processes
- dynamic programming
- active learning
- evolutionary algorithm
- learning process
- bayesian networks
- decision trees
- knowledge base
- information retrieval