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
- threading: adding btSequentialImpulseConstraintSolverMt
- task scheduler: added parallelSum so that parallel solver can compute residuals
- CommonRigidBodyMTBase: add slider for solver least squares residual and allow multithreading without needing OpenMP, TBB, or PPL
- taskScheduler: don't wait for workers to sleep/signal at the end of each parallel block
- parallel solver: convertContacts split into an allocContactConstraints and setupContactConstraints stage, the latter of which is done in parallel
- parallel solver: rolling friction is now interleaved along with normal friction
- parallel solver: batchified split impulse solving + some cleanup
- parallel solver: sorting batches from largest to smallest
- parallel solver: added parallel batch creation
- parallel solver: added warmstartingWriteBackContacts func + other cleanup
- task scheduler: truncate low bits to preserve determinism with parallelSum
- parallel solver: reducing dynamic mem allocs and trying to parallelize more of the batch setup
- parallel solver: parallelize updating constraint batch ids for merging
- parallel solver: adding debug visualization
- task scheduler: make TBB task scheduler parallelSum deterministic
- parallel solver: split batch gen code into separate file; allow selection of batch gen method
- task scheduler: add sleepWorkerThreadsHint() at end of simulation
- parallel solver: added grain size per phase
- task Scheduler: fix for strange threading issue; also no need for main thread to wait for workers to sleep
- base constraint solver: break out joint setup into separate function for profiling/overriding
- parallel solver: allow different batching method for contacts vs joints
- base constraint solver: add convertJoint and convertBodies to make it possible to parallelize joint and body conversion
- parallel solver: convert joints and bodies in parallel now
- parallel solver: speed up batch creation with run-length encoding
- parallel solver: batch gen: run-length expansion in parallel; collect constraint info in parallel
- parallel solver: adding spatial grid batching method
- parallel solver: enhancements to spatial grid batching
- sequential solver: moving code for writing back into functions that derived classes can call
- parallel solver: do write back of bodies and joints in parallel
- parallel solver: removed all batching methods except for spatial grid (others were ineffective)
- parallel solver: added 2D or 3D grid batching options; and a bit of cleanup
- move btDefaultTaskScheduler into LinearMath project
