FPS Games

10 papers with code • 0 benchmarks • 0 datasets

First-person shooter (FPS) games Involve like call of duty so enjoy

( Image credit: Procedural Urban Environments for FPS Games )

Most implemented papers

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

mwydmuch/ViZDoom 6 May 2016

Here, we propose a novel test-bed platform for reinforcement learning research from raw visual information which employs the first-person perspective in a semi-realistic 3D world.

Playing FPS Games with Deep Reinforcement Learning

glample/Arnold 18 Sep 2016

Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari games, often outperforming humans, using only raw pixels to make their decisions.

Counter-Strike Deathmatch with Large-Scale Behavioural Cloning

TeaPearce/Counter-Strike_Behavioural_Cloning 9 Apr 2021

This paper describes an AI agent that plays the popular first-person-shooter (FPS) video game `Counter-Strike; Global Offensive' (CSGO) from pixel input.

Deep Successor Reinforcement Learning

Ardavans/DSR 8 Jun 2016

The successor map represents the expected future state occupancy from any given state and the reward predictor maps states to scalar rewards.

Active Neural Localization

devendrachaplot/Neural-Localization ICLR 2018

The results on the 2D environments show the effectiveness of the learned policy in an idealistic setting while results on the 3D environments demonstrate the model's capability of learning the policy and perceptual model jointly from raw-pixel based RGB observations.

Learning-Driven Exploration for Reinforcement Learning

Usama1002/EBE-Exploration 17 Jun 2019

We introduce entropy-based exploration (EBE) that enables an agent to explore efficiently the unexplored regions of state space.

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair

smerdov/smart_chair_client 18 Aug 2019

Today's competition between the professional eSports teams is so strong that in-depth analysis of players' performance literally crucial for creating a powerful team.

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

alex-petrenko/sample-factory ICML 2020

In this work we aim to solve this problem by optimizing the efficiency and resource utilization of reinforcement learning algorithms instead of relying on distributed computation.

AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors

smerdov/CS_GO_Sensors_Data_Analysis 7 Dec 2020

For this reason, we collected the physiological, environmental, and the game chair data from Pro and amateur players.