4 papers
PPO-ABR: Proximal Policy Optimization based Deep Reinforcement Learning for Adaptive BitRate streaming
Mandan Naresh, Paresh Saxena, Manik Gupta
Providing a high Quality of Experience (QoE) for video streaming in 5G and beyond 5G (B5G) networks is challenging due to the dynamic nature of the underlying network conditions. S…
Deep Reinforcement Learning with Importance Weighted A3C for QoE enhancement in Video Delivery Services
Mandan Naresh, Paresh Saxena, Manik Gupta
Adaptive bitrate (ABR) algorithms are used to adapt the video bitrate based on the network conditions to improve the overall video quality of experience (QoE). Recently, reinforcem…
SAC-AP: Soft Actor Critic based Deep Reinforcement Learning for Alert Prioritization
Lalitha Chavali, Tanay Gupta, Paresh Saxena
Intrusion detection systems (IDS) generate a large number of false alerts which makes it difficult to inspect true positives. Hence, alert prioritization plays a crucial role in de…
NANCY: Neural Adaptive Network Coding methodologY for video distribution over wireless networks
Paresh Saxena, Mandan Naresh, Manik Gupta +3
This paper presents NANCY, a system that generates adaptive bit rates (ABR) for video and adaptive network coding rates (ANCR) using reinforcement learning (RL) for video distribut…