MineCraft Game in Julia

run.jl

# Instructions to get something running of Malmo

# In terminal 1 and a particular environment 
# 1) Do `pip3 install gym lxml numpy pillow`
# 2) Do `git clone https://github.com/Microsoft/malmo.git`
# 3) Go to `cd malmo/MalmoEnv`
# 4) Do `(echo -n "malmomod.version=" && cat ../VERSION) > ./src/main/resources/version.properties`
# 5) Then run this file `julia run.jl`

# In terminal 2
# 1) Do `cd malmo/Minecraft`
# 2) Do `./launchClient.sh -port 9000 -env`

using PyCall
using ReinforcementLearning
@pyimport malmoenv

f = open("missions/mobchase_single_agent.xml", "r")
xml = read(f, String)
println(xml)
env = malmoenv.make()

env.init(xml, 9000,server="127.0.0.1",server2="127.0.0.1", port2=9000,role=0,exp_uid="test1", episode=0, resync=0)

episodemaxsteps = 0 
for i in 1:10
    println("reset " * string(i))
    obs = env.reset()
    steps = 0
    done = false
    while done ==false && (episodemaxsteps <= 0 || steps < episodemaxsteps)

        action = env.action_space.sample()
        
        obs, reward, done, info = env.step(action)
        steps += 1
        println("reward: ", string(reward))
        # println("done: " , string(done))
        println("obs: ", string(obs))

        println("info", info)
        sleep(.05)
    end
end

env.close()