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  1. To build the CS:GO agent, I am taking the imitation training and supervised learning approach with no pre-installed knowledge or pre-implemented playing strategy. Specifically, the agent …

  2. One critical element to any game like Counter-Strike is the level design. This study attempts to provide an analysis of competitive level design by looking at the differences between a highly …

  3. Demo files from 6000 CS:GO games of the top 1000 ranked players in the EU region were downloaded from FACEIT.com and ana-lyzed using an open source library to parse CS:GO …

  4. This paper has defined several game modes of varying difficulty, and had a first attempt at solving them with behavioural cloning. We share our code and datasets to encourage other …

  5. Index 31 Supports Python 2.7+ and 3.4+. Module based on steam for interacting with CSGO’s Game Coordinator. As always contributions and suggestions are welcome. Just visit the …

  6. This paper presents results of a forty-two (42) person user study that evaluates the effects of latency on players of the popular FPS game Counter-strike: Global Offensive (CS:GO) (Valve, …

  7. A method for synchronizing CS: GO in-game telemetry with real time is presented. The proposed approach and methodology could be used to get synchronous data from heterogeneous …