3 Commits

Author	SHA1	Message	Date
erwincoumans	851ca5bfb3	Improve PyBullet ports of Roboschool envs: fix reset (it kept adding stadium objects, causing slowdown), now reset uses saveState/restoreState and reset becomes a few orders of magnitude faster. ... Use python -m pybullet_envs.examples.testEnv --env AntBulletEnv-v0 --render=1 --steps 1000 --resetbenchmark=1 Added environments: HumanoidFlagrunBulletEnv-v0, HumanoidFlagrunHarderBulletEnv-v0, StrikerBulletEnv-v0, ThrowerBulletEnv-v0, PusherBulletEnv-v0, ReacherBulletEnv-v0, CartPoleBulletEnv-v0 and register them to OpenAI Gym. Allow numpy/humanoid_running.py to use abtch or non-batch update (setJointMotorControl2/setJointMotorControlArray)	2018-01-15 12:48:32 -08:00
erwincoumans	ed890f23e6	add implicit plane_implicit.urdf and use it in humanoid_running.py (numpy version)	2018-01-13 13:47:28 -08:00
erwincoumans	1b569c0701	Add humanoid_running.py using just numpy (no tensorflow, no gym) for testing	2018-01-13 13:39:57 -08:00