Allow custom XML-files for ant_env

fancy_gym/envs/mujoco/ant_jump/ant_jump.py

@@ -2,7 +2,10 @@ from typing import Tuple, Union, Optional, Any, Dict
 
 import numpy as np
 from gymnasium.core import ObsType
-from gymnasium.envs.mujoco.ant_v4 import AntEnv
+from gymnasium.envs.mujoco.ant_v4 import AntEnv, DEFAULT_CAMERA_CONFIG
+from gymnasium import utils
+from gymnasium.envs.mujoco import MujocoEnv
+from gymnasium.spaces import Box
 
 MAX_EPISODE_STEPS_ANTJUMP = 200
 
@@ -12,8 +15,74 @@ MAX_EPISODE_STEPS_ANTJUMP = 200
 #  to the same structure as the Hopper, where the angles are randomized (->contexts) and the agent should jump as heigh
 #  as possible, while landing at a specific target position
 
+class AntEnvCustomXML(AntEnv):
+    def __init__(
+        self,
+        xml_file="ant.xml",
+        ctrl_cost_weight=0.5,
+        use_contact_forces=False,
+        contact_cost_weight=5e-4,
+        healthy_reward=1.0,
+        terminate_when_unhealthy=True,
+        healthy_z_range=(0.2, 1.0),
+        contact_force_range=(-1.0, 1.0),
+        reset_noise_scale=0.1,
+        exclude_current_positions_from_observation=True,
+        **kwargs,
+    ):
+        utils.EzPickle.__init__(
+            self,
+            xml_file,
+            ctrl_cost_weight,
+            use_contact_forces,
+            contact_cost_weight,
+            healthy_reward,
+            terminate_when_unhealthy,
+            healthy_z_range,
+            contact_force_range,
+            reset_noise_scale,
+            exclude_current_positions_from_observation,
+            **kwargs,
+        )
 
-class AntJumpEnv(AntEnv):
+        self._ctrl_cost_weight = ctrl_cost_weight
+        self._contact_cost_weight = contact_cost_weight
+
+        self._healthy_reward = healthy_reward
+        self._terminate_when_unhealthy = terminate_when_unhealthy
+        self._healthy_z_range = healthy_z_range
+
+        self._contact_force_range = contact_force_range
+
+        self._reset_noise_scale = reset_noise_scale
+
+        self._use_contact_forces = use_contact_forces
+
+        self._exclude_current_positions_from_observation = (
+            exclude_current_positions_from_observation
+        )
+
+        obs_shape = 27
+        if not exclude_current_positions_from_observation:
+            obs_shape += 2
+        if use_contact_forces:
+            obs_shape += 84
+
+        observation_space = Box(
+            low=-np.inf, high=np.inf, shape=(obs_shape,), dtype=np.float64
+        )
+
+        MujocoEnv.__init__(
+            self,
+            xml_file,
+            5,
+            observation_space=observation_space,
+            default_camera_config=DEFAULT_CAMERA_CONFIG,
+            **kwargs,
+        )
+
+
+class AntJumpEnv(AntEnvCustomXML):
     """
     Initialization changes to normal Ant:
     - healthy_reward: 1.0 -> 0.01 -> 0.0 no healthy reward needed - Paul and Marc