We study a game between liquidity provider and liquidity taker agents
in...
Solving general Markov decision processes (MDPs) is a computationally ha...
We present a new financial framework where two families of RL-based agen...
This paper presents an end-to-end system for fact extraction and verific...
We present a new method for counterfactual explanations (CFEs) based on
...
Recently, Optimistic Multiplicative Weights Update (OMWU) was proven to ...
Policy gradient methods can solve complex tasks but often fail when the
...
Existing work on risk-sensitive reinforcement learning - both for symmet...
We show that adversarial reinforcement learning (ARL) can be used to pro...
Market making is a fundamental trading problem in which an agent provide...