Market Making via Reinforcement Learning. - Thomas Spooner; John Fearnley; Rahul Savani; Andreas Koukorinis (AAMAS, 2018)

Robust Market Making via Adversarial Reinforcement Learning. - Thomas Spooner; Rahul Savani (IJCAI, 2020)

A Natural Actor-Critic Algorithm with Downside Risk Constraints. - Thomas Spooner; Rahul Savani (CoRR, 2020)

Towards a fully rl-based market simulator. - Leo Ardon; Nelson Vadori; Thomas Spooner; Mengda Xu; Jared Vann; Sumitra Ganesh (ICAIF, 2021)

Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs. - Thomas Spooner; Nelson Vadori; Sumitra Ganesh (NeurIPS, 2021)

Causal Policy Gradients. - Thomas Spooner; Nelson Vadori; Sumitra Ganesh (CoRR, 2021)

Counterfactual Explanations for Arbitrary Regression Models. - Thomas Spooner; Danial Dervovic; Jason Long; Jon Shepard; Jiahao Chen; Daniele Magazzeni (CoRR, 2021)

Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification. - Neema Kotonya; Thomas Spooner; Daniele Magazzeni; Francesca Toni (CoRR, 2021)

Algorithmic trading and reinforcement learning: robust methodologies for AI in finance. - Thomas Spooner (2021)

Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures. - Nelson Vadori; Rahul Savani; Thomas Spooner; Sumitra Ganesh (ICML, 2022)

Reductive MDPs: A Perspective Beyond Temporal Horizons. - Thomas Spooner; Rui Silva; Joshua Lockhart; Jason Long; Vacslav Glukhov (CoRR, 2022)

Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations. - Nelson Vadori; Leo Ardon; Sumitra Ganesh; Thomas Spooner; Selim Amrouni; Jared Vann; Mengda Xu; Zeyu Zheng; Tucker Balch; Manuela Veloso (CoRR, 2022)

Phantom - A RL-driven Multi-Agent Framework to Model Complex Systems. - Leo Ardon; Jared Vann; Deepeka Garg; Thomas Spooner; Sumitra Ganesh (AAMAS, 2023)