Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning.
Luca A. ThiedeMario KrennAkshatKumar NigamAlán Aspuru-GuzikPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- markov decision processes
- function approximation
- model free
- state space
- drug discovery
- search space
- reinforcement learning algorithms
- multi agent
- dynamic programming
- action space
- optimal policy
- space time
- free riding
- data sets
- belief space
- real robot
- geometric structure
- optimal control
- data mining