3 Commits

Author	SHA1	Message	Date
Erwin Coumans	0abe4151e5	Fix for 1643, allow to instantiate multiple PyBullet Gym environments (Ant, Humanoid, Hopper, Pendula etc) in the same process (same or other thread). It uses the pybullet_utils.bullet_client to achieve this.	2018-05-18 16:23:54 -07:00
kimhc6028	0d07ae03b7	[fixed] gym_manipulator_envs typo	2018-01-23 18:22:53 +09:00
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