implement deepmimic reward function (only joint angles/velocities for now)
fix an out-of-date comment, related to contactPoint.m_lateralFrictionInitialized in btSequentialImpulseConstraintSolver.cpp
Add preparation for DeepMimic humanoid environment, replicating parts of https://github.com/xbpeng/DeepMimic
Loading humanoid.urdf and applying motion action: examples/pybullet/gym/pybullet_envs/mimic/humanoid.py
Loading MotionCapture data: examples/pybullet/gym/pybullet_envs/mimic/motion_capture_data.py
Little test: examples/pybullet/gym/pybullet_envs/mimic/humanoid_test.py
If you use the Laikago URDF, please add a citation to PyBullet:
@MISC{coumans2018,
author = {Erwin Coumans and Yunfei Bai},
title = {PyBullet, a Python module for physics simulation for games, robotics and machine learning},
howpublished = {\url{http://pybullet.org}},
year = {2016--2018}
}
enable follow cam in other Gym locomotion environments
add testing assets for multi-material obj files -> sdf conversion.
Also use ER_NO_SEGMENTATION_MASK flag for TinyRenderer/EGL plugin renderer
Method def isAlive(self), which defaults to return self._alive < 0, and each environment can override this method (Half Cheetah would implement return False)
(In response to bea468fb93)
As suggested in https://github.com/bulletphysics/bullet3/pull/1759. The default isDone lets done = alive<0, and a special case is made for halfcheetah, forcing done=False.
I had to pass the 'alive' condition as an additive parameter of WalkerBaseBulletEnv.
add them to pybullet_envs through __init__.py
id='MinitaurReactiveEnv-v0',
id='MinitaurTrottingEnv-v0',
id='MinitaurBallGymEnv-v0',
id='MinitaurStandGymEnv-v0',
id='MinitaurAlternatingLegsEnv-v0',
id='MinitaurFourLegStandEnv-v0',
disable reflection of minitaur_four_leg_stand_env, since the floor changes orientation (reflection is a fixed plane with [0,0,1] normal)
from pybullet_envs.minitaur.envs.minitaur_alternating_legs_env import MinitaurAlternatingLegsEnv
from pybullet_envs.minitaur.envs.minitaur_ball_gym_env import MinitaurBallGymEnv
from pybullet_envs.minitaur.envs.minitaur_randomize_terrain_gym_env import MinitaurRandomizeTerrainGymEnv
from pybullet_envs.minitaur.envs.minitaur_reactive_env import MinitaurReactiveEnv
from pybullet_envs.minitaur.envs.minitaur_stand_gym_env import MinitaurStandGymEnv
from pybullet_envs.minitaur.envs.minitaur_trotting_env import MinitaurTrottingEnv
from pybullet_envs.minitaur.envs.minitaur_four_leg_stand_env import MinitaurFourLegStandEnv
