5 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.LG2020
Expected Eligibility Traces
Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel +3
The question of how to determine which states and actions are responsible for a certain outcome is known as the credit assignment problem and remains a central research question in…
cs.LG2019★ 4 cited
State2vec: Off-Policy Successor Features Approximators
Sephora Madjiheurem, Laura Toni
A major challenge in reinforcement learning (RL) is the design of agents that are able to generalize across tasks that share common dynamics. A viable solution is meta-reinforcemen…
cs.LG2019★ 5 cited
Representation Learning on Graphs: A Reinforcement Learning Application
Sephora Madjiheurem, Laura Toni
In this work, we study value function approximation in reinforcement learning (RL) problems with high dimensional state or action spaces via a generalized version of representation…