most citedReinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 3 cited

Reinforcement Learning Based Self-play and State Stacking Techniques for Noisy Air Combat Environment

Ahmet Semih Tasbas, Safa Onur Sahin, Nazim Kemal Ure

Reinforcement learning (RL) has recently proven itself as a powerful instrument for solving complex problems and even surpassed human performance in several challenging application…