dacbench.envs.cma_es

CMA-ES environment adapted from CMAWorld in “Learning Step-size Adaptation in CMA-ES” by G.Shala and A. Biedenkapp and N.Awad and S. Adriaensen and M.Lindauer and F. Hutter. Original author: Gresa Shala

Module Contents

Classes

CMAESEnv

Environment to control the step size of CMA-ES

Functions

_norm(x)

dacbench.envs.cma_es._norm(x)

class dacbench.envs.cma_es.CMAESEnv(config)

Bases: dacbench.AbstractEnv

Environment to control the step size of CMA-ES

step(self, action)

Execute environment step

Parameters

action (list) – action to execute

Returns

state, reward, done, info

Return type

np.array, float, bool, dict

reset(self)

Reset environment

Returns

Environment state

Return type

np.array

close(self)

No additional cleanup necessary

Returns

Cleanup flag

Return type

bool

render(self, mode: str = 'human')

Render env in human mode

Parameters

mode (str) – Execution mode

get_default_reward(self, _)

Compute reward

Returns

Reward

Return type

float

get_default_state(self, _)

Gather state description

Returns

Environment state

Return type

dict