2 papers
cs.LG2022
RangL: A Reinforcement Learning Competition Platform
Viktor Zobernig, Richard A. Saldanha, Jinke He +12
The RangL project hosted by The Alan Turing Institute aims to encourage the wider uptake of reinforcement learning by supporting competitions relating to real-world dynamic decisio…
cs.GT2021
Computational Performance of Deep Reinforcement Learning to find Nash Equilibria
Christoph Graf, Viktor Zobernig, Johannes Schmidt +1
We test the performance of deep deterministic policy gradient (DDPG), a deep reinforcement learning algorithm, able to handle continuous state and action spaces, to learn Nash equi…