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10/13/2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
We study a game between liquidity provider and liquidity taker agents in...
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05/15/2022
Reductive MDPs: A Perspective Beyond Temporal Horizons
Solving general Markov decision processes (MDPs) is a computationally ha...
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10/13/2021
Towards a fully RL-based Market Simulator
We present a new financial framework where two families of RL-based agen...
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09/25/2021
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification
This paper presents an end-to-end system for fact extraction and verific...
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06/29/2021
Counterfactual Explanations for Arbitrary Regression Models
We present a new method for counterfactual explanations (CFEs) based on ...
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06/04/2021
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures
Recently, Optimistic Multiplicative Weights Update (OMWU) was proven to ...
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02/20/2021
Causal Policy Gradients
Policy gradient methods can solve complex tasks but often fail when the ...
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07/08/2020
A Natural Actor-Critic Algorithm with Downside Risk Constraints
Existing work on risk-sensitive reinforcement learning - both for symmet...
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03/03/2020
Robust Market Making via Adversarial Reinforcement Learning
We show that adversarial reinforcement learning (ARL) can be used to pro...
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04/11/2018
