Conformer-RL: A deep reinforcement learning library for conformer generation.
Runxuan JiangTarun GogineniJoshua KammeraadYifei HeAmbuj TewariPaul M. ZimmermanPublished in: J. Comput. Chem. (2022)
Keyphrases
- policy evaluation
- reinforcement learning
- temporal difference
- model free
- function approximation
- markov decision processes
- policy iteration
- td learning
- optimal policy
- state space
- reinforcement learning algorithms
- rl algorithms
- learning problems
- learning algorithm
- temporal difference learning
- action selection
- multi agent
- reinforcement learning agents
- partially observable
- control problems
- action space
- transfer learning
- reinforcement learning methods
- continuous state
- partially observable domains
- neural network
- direct policy search
- policy search
- actor critic
- approximate dynamic programming
- generation process
- learning capabilities
- supervised learning