Search Results for author:
Found 2 papers, 0 papers with code
Model-based Reinforcement Learning for Predictions and Control for Limit Order Books
We build a profitable electronic trading agent with Reinforcement Learning that places buy and sell orders in the stock market.
Model-based Reinforcement Learning
reinforcement-learning
+1
Decentralized Multi-Agent Actor-Critic with Generative Inference
Our approach augments the multi-agent actor-critic method's centralized training phase with generative modeling so that agents may infer other agents' observations when provided with locally available context.
