space_battle

A multi agent re-enforcement learning environment for many on many bot fight between space ships.

Random Agent on 2 vs 2 gameplay

Tasks	File names	Status
Environment	battle_env.py	Done
Self play bot: CE	self_play_cross_entropy.py	Done
Genetic Algorithm bot: ES	es_multi_processor_aws.py	In progress
RL bot: PPO	space_battle_ppo.py	In progress

Resources: RL: Re-enforcement learning John Schulman 1: Deep Reinforcement Learning

1. https://www.youtube.com/watch?v=aUrX-rP_ss4
2. sample code ( Cross Entropy and Actor Critic Method) : http://rl-gym-doc.s3-website-us-west-2.amazonaws.com/mlss/index.html

ES: Evolutionary strategies:

1. https://blog.openai.com/evolution-strategies/ https://arxiv.org/abs/1703.03864 CE: Cross Entropy
2. Learning Tetris using the noisy cross-entropy method http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.81.6579&rep=rep1&type=pdf

PPO: Proximal Policy Optimization Algorithms

1. https://blog.openai.com/openai-baselines-ppo/

email: akhileshsk@gmail.com