OpenNetLab / gym
This gym leverages NS3 and WebRTC, which can be used by reinforcement learning or other methods to build a Bandwidth Controller for WebRTC
☆43Updated 3 years ago
Alternatives and similar repositories for gym:
Users that are interested in gym are comparing it to the libraries listed below
- A Variegated Look at 5G in the Wild: Performance, Power, and QoE Implications (SIGCOMM '21)☆54Updated 3 years ago
- Orca: Towards Mastering Congestion Control In the Internet☆106Updated 4 years ago
- Hairpin: Rethinking Packet Loss Recovery in Edge-based Interactive Video Streaming (NSDI 2024)☆19Updated 9 months ago
- ☆35Updated 5 years ago
- The repository of Genet project.☆46Updated 2 years ago
- Towards Universal Internet Congestion Control Benchmarking ...☆21Updated last year
- Practical Implementation of ABR Algorithms Using Decision Trees (ACM MM 2019)☆35Updated 8 months ago
- Dataset of PiTree project.☆11Updated 3 years ago
- Unofficial Implementation of Oboe (SIGCOMM'18).☆29Updated 2 years ago
- ACM MULTIMEDIA 2022 Grand Challenge☆43Updated 2 years ago
- Repository for Reinforcement learning based bandwidth estimation challenge☆29Updated 3 months ago
- The simplest implementation of Pensieve (SIGCOMM' 17) via state-of-the-art RL algorithms, including PPO, DQN, SAC, and support for both T…☆67Updated 8 months ago
- Sage of Congestion Control (or How Computers Can Learn from Existing Schemes and Master Internet CC)☆39Updated last year
- Pensieve on python 3.8 & tensorflow 2.7☆18Updated 3 years ago
- Cellular Traces Gathered in NYC☆16Updated 4 years ago
- ☆19Updated 2 years ago
- An interface to program any congestion control protocol for an unreliable connection based protocol sent over UDP. It comes with a clean …☆12Updated 2 years ago
- Pensieve for 5G datasets.☆14Updated 3 years ago
- The emulator system for the second AItrans competition☆16Updated last year
- Congestion control algorithms evaluation on ns3☆89Updated 2 years ago
- Record and replay for cellular network emulation☆12Updated 8 months ago
- The implementation of "Self-play Reinforcement Learning for Video Transmission" (NOSSDAV'20)☆25Updated 4 years ago
- implement TCP BBR in ns3.33☆36Updated last year
- Code for the paper "HotDASH: Hotspot Aware Adaptive Video Streaming using Deep Reinforcement Learning" in IEEE ICNP 2018☆19Updated 5 years ago
- Datasets and source codes for INFOCOM'23 (A Close Look at 5G in the Wild: Unrealized Potentials and Implications))☆13Updated last year
- DASH meets ns3-gym, an inclusive discrete environment to test ML for video streaming.☆23Updated 3 years ago
- A Pytorch implementation of Pensieve (SIGCOMM'18)☆12Updated 4 years ago
- DeepCC: A Deep Reinforcement Learning Plug-in to Boost the performance of your TCP scheme in Cellular Networks!☆27Updated 2 years ago
- Code repository of GreenABR for MMSys 2022 submission☆13Updated 2 years ago
- NYU Metropolitan Mobile Bandwidth Trace☆27Updated 3 years ago