Quantitative Day Trading from Natural Language using Reinforcement Learning.
Ramit SawhneyArnav WadhwaShivam AgarwalRajiv Ratn ShahPublished in: NAACL-HLT (2021)
Keyphrases
- reinforcement learning
- natural language
- machine learning
- function approximation
- semantic analysis
- qualitative and quantitative
- knowledge representation
- natural language interface
- natural language processing
- learning algorithm
- markov decision process
- natural language generation
- markov decision processes
- reinforcement learning algorithms
- quantitative and qualitative
- temporal difference
- quantitative measures
- financial markets
- dialogue system
- model free
- electronic commerce
- neural network
- optimal policy
- robotic control
- state space
- trading strategies
- natural language understanding
- semantic representation
- question answering
- optimal control
- learning process
- language processing
- real robot
- multi agent
- trading systems
- supervised learning
- multi agent reinforcement learning
- policy search