• Parvathy Viswanath

Deep reinforcement learning can be defined as a combined form of reinforcement learning(RL) and deep learning .This field introduced solutions for different complex decision making tasks. It has an ability to adapt to the surrounding environments. Despite of having many advantages it also faces some attacks when we use them in real life applications. This paper includes some of the attacks faced and survey on the countermeasures can be taken to resolve them.

Deep learning, reinforcement learning, artificial intelligence

"A survey on attacks faced by deep reinforcement learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.724-727, May 2020, Available :http://www.jetir.org/papers/JETIR2005414.pdf

"A survey on attacks faced by deep reinforcement learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp724-727, May 2020, Available at : http://www.jetir.org/papers/JETIR2005414.pdf