12 citations · 20 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 8 cited
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
K. E. Avrachenkov, V. S. Borkar, H. P. Dolhare +1
We analyze the DQN reinforcement learning algorithm as a stochastic approximation scheme using the o.d.e. (for 'ordinary differential equation') approach and point out certain theo…
cs.AI2018★ 12 cited
Greybox fuzzing as a contextual bandits problem
Ketan Patil, Aditya Kanade
Greybox fuzzing is one of the most useful and effective techniques for the bug detection in large scale application programs. It uses minimal amount of instrumentation. American Fu…