19 citations · 27 across the 26 of their papers we have counts for
4 papers · 1 filter
Policy-Invariant Reward Shaping from LLM Feedback: A Framework for Hybrid RL Agents
Christophe D. Hounwanou, John Emeka Eze, Yaé U. Gaba
Combining large language models with reinforcement learning is increasingly explored, yet the theoretical status of LLM-derived reward signals is often left implicit. We formalize…
A matched-integrator evaluation of Hamiltonian neural networks on pendulum and Kepler dynamics
Lenick Kemunto Nyabuto, Yae Ulrich Gaba, Birahim Tewe
Hamiltonian Neural Networks (HNNs) parameterize conservative dynamics through a learned scalar Hamiltonian, providing an architectural prior that is absent from generic vector-fiel…
Synthetic Financial Data Generation for Enhanced Financial Modelling
Christophe D. Hounwanou, Yae Ulrich Gaba, Pierre Ntakirutimana
Data scarcity and confidentiality in finance often impede model development and robust testing. This paper presents a unified multi-criteria evaluation framework for synthetic fina…
Bellman operator convergence enhancements in reinforcement learning algorithms
David Krame Kadurha, Domini Jocema Leko Moutouo, Yae Ulrich Gaba
This paper reviews the topological groundwork for the study of reinforcement learning (RL) by focusing on the structure of state, action, and policy spaces. We begin by recalling k…