Market Making via Reinforcement Learning T Spooner, J Fearnley, R Savani, A Koukorinis Autonomous Agents and Multi-Agent Systems (AAMAS), 434-442, 2018 | 141* | 2018 |
Robust Market Making via Adversarial Reinforcement Learning T Spooner, R Savani International Joint Conference on Artificial Intelligence (IJCAI), 4590-4596, 2020 | 57 | 2020 |
Counterfactual Explanations for Arbitrary Regression Models T Spooner, D Dervovic, J Long, J Shepard, J Chen, D Magazzeni ICML Workshop on Algorithmic Recourse, 2021 | 28 | 2021 |
Towards a Fully RL-based Market Simulator L Ardon, N Vadori, T Spooner, M Xu, J Vann, S Ganesh International Conference on AI in Finance (ICAIF), 1-9, 2021 | 19 | 2021 |
Graph Reasoning with Context-Aware Linearization for Interpretable Fact Extraction and Verification N Kotonya, T Spooner, D Magazzeni, F Toni Workshop on Fact Extraction and VERification (FEVER), 2021 | 13 | 2021 |
Factored Policy Gradients: Leveraging Structure for Efficient Learning in MOMDPs T Spooner, N Vadori, S Ganesh Neural Information Processing Systems (NeurIPS) 34, 5481-5493, 2021 | 12 | 2021 |
Towards multi‐agent reinforcement learning‐driven over‐the‐counter market simulations N Vadori, L Ardon, S Ganesh, T Spooner, S Amrouni, J Vann, M Xu, ... Mathematical Finance 34 (2), 262-347, 2024 | 7 | 2024 |
Phantom-A RL-driven Multi-Agent Framework to Model Complex Systems L Ardon, J Vann, D Garg, T Spooner, S Ganesh Autonomous Agents and Multiagent Systems (AAMAS), 2742-2744, 2023 | 7 | 2023 |
Bayesian optimisation of restriction zones for bluetongue control T Spooner, AE Jones, J Fearnley, R Savani, J Turner, M Baylis Scientific Reports 10 (1), 15139, 2020 | 7 | 2020 |
A Natural Actor-Critic Algorithm with Downside Risk Constraints T Spooner, R Savani arXiv preprint arXiv:2007.04203, 2020 | 6 | 2020 |
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures N Vadori, R Savani, T Spooner, S Ganesh International Conference on Machine Learning (ICML), 21901-21926, 2022 | 3 | 2022 |
Algorithmic trading and reinforcement learning: robust methodologies for AI in finance T Spooner PQDT-Global, 2021 | 3 | 2021 |
Phantom–an rl-driven framework for agent-based modeling of complex economic systems and markets L Ardon, J Vann, D Garg, T Spooner, S Ganesh arXiv preprint arXiv:2210.06012, 2022 | 1 | 2022 |
Method and system for providing counterfactual explanations for artificial intelligence regression models T Spooner, D Dervovic, J Long, J Chen, J Shepard, D Magazzeni US Patent App. 17/326,625, 2022 | | 2022 |
Reductive MDPs: A Perspective Beyond Temporal Horizons T Spooner, R Silva, J Lockhart, J Long, V Glukhov arXiv preprint arXiv:2205.07338, 2022 | | 2022 |