Chaotic Transformers for Deep Reinforcement Learning in Algorithmic Trading.
Tohid AbediniSamin HeydarianMoein HeidariAlireza MorsaliPublished in: Tiny Papers @ ICLR (2023)
Keyphrases
- reinforcement learning
- function approximation
- electronic commerce
- multi agent
- reinforcement learning algorithms
- temporal difference
- cellular automata
- dynamic programming
- markov decision processes
- state space
- optimal policy
- function approximators
- robotic control
- financial markets
- model free
- multi agent reinforcement learning
- chaotic sequence
- action space
- data sets
- trading strategies
- nonlinear dynamics
- chaotic neural network
- market data
- futures market
- image encryption algorithm