← authors · overview

• Reinforcement Learning for Market Making in a Multi-agent Dealer Market
  2019 · 19 citations
• Towards a fully RL-based Market Simulator
  2021 · 15 citations
• Phantom -- A RL-driven multi-agent framework to model complex systems
  2022 · 2 citations
• Risk-Sensitive Reinforcement Learning: a Martingale Approach to Reward Uncertainty
  2020 · 1 citations
• Learning and Calibrating Heterogeneous Bounded Rational Market Behaviour with Multi-Agent Reinforcement Learning
  2024 · 1 citations
• A Hessian-Free Actor-Critic Algorithm for Bi-Level Reinforcement Learning with Applications to LLM Fine-Tuning
  2026
• Learning in Stackelberg Mean Field Games: A Non-Asymptotic Analysis
  2025
• Modelling bounded rational decision-making through Wasserstein constraints
  2025
• Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations
  2022
• Inapplicable Actions Learning for Knowledge Transfer in Reinforcement Learning
  2022
• Sequential Fair Resource Allocation under a Markov Decision Process Framework
  2023
• Approximate Equivariance in Reinforcement Learning
  2024