HRL envs from Data efficient hierarchical reinforcement learning in Julia using Lyceum MuJoCo
- Ant gather
- Point gather
- Ant maze
- Point maze
- Ant push
- Ant fall
Make sure you check the install instructions for Lyceum MuJoCo
pkg> add https://github.com/sash-a/HrlMuJoCoEnvs.jl/
using HrlMuJoCoEnvs
using LyceumMuJoCo
env = HrlMuJoCoEnvs.AntGatherEnv()
for i in 1:100
step!(env)
o = getobs(env)
setaction!(env, rand(8))
@show getreward(env)
if isdone(env)
println("done")
end
end
ps. appologies for some poor coding practise, this is research code.