Deep Mimic Humanoid3d Backflip In Pybullet Re Trained Policy

Media Summary: The gym environment including connection to OpenAI baselines is all open source. Fly through A Gate: Reinforcement Learning in Gym-PyBullet-Drones Environment Testing communications to a rigid body physics sim.

Deep Mimic Humanoid3d Backflip In Pybullet Re Trained Policy - Detailed Analysis & Overview

The gym environment including connection to OpenAI baselines is all open source. Fly through A Gate: Reinforcement Learning in Gym-PyBullet-Drones Environment Testing communications to a rigid body physics sim. The motion capture data is tracked using a spherical joint motor, instead of PD controller. Base is kinematically moved in this ...

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deep mimic humanoid3d backflip in PyBullet (re-trained policy)

PyBullet humanoid backflip using original DeepMimic policy.

DeepMimic backflip policy trained in PyBullet Gym environment

PyBullet DeepMimic environment, re-using original policy

pybullet KUKA grasp training/enjoy using Tensorflow+OpenAI gym+baselines DQN

deep mimic random 2019 07 30 18 30 55

Humanoid Motion Capture playback in PyBullet (mocap data from DeepMimic )

Fly through A Gate: Reinforcement Learning in Gym-PyBullet-Drones Environment

Minitaur locomotion in PyBullet, trained with ARS linear policy in 30 minutes (+reflection)

Bipedal Walking in PyBullet: Full-Order Robot Model

PyBullet Test

Trained DDSM Agents in Improved PyBullet openAI Environment

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deep mimic humanoid3d backflip in PyBullet (re-trained policy)

deep mimic humanoid3d backflip in PyBullet (re-trained policy)

Note: this is a

PyBullet humanoid backflip using original DeepMimic policy.

PyBullet humanoid backflip using original DeepMimic policy.

Environment is here: https://github.com/bulletphysics/bullet3/tree/master/examples/

DeepMimic backflip policy trained in PyBullet Gym environment

DeepMimic backflip policy trained in PyBullet Gym environment

The code: https://github.com/bulletphysics/bullet3/tree/master/examples/

PyBullet DeepMimic environment, re-using original policy

PyBullet DeepMimic environment, re-using original policy

Pure

pybullet KUKA grasp training/enjoy using Tensorflow+OpenAI gym+baselines DQN

pybullet KUKA grasp training/enjoy using Tensorflow+OpenAI gym+baselines DQN

The gym environment including connection to OpenAI baselines is all open source.

deep mimic random 2019 07 30 18 30 55

deep mimic random 2019 07 30 18 30 55

deep mimic random 2019 07 30 18 30 55

Humanoid Motion Capture playback in PyBullet (mocap data from DeepMimic )

Humanoid Motion Capture playback in PyBullet (mocap data from DeepMimic )

PyBullet

Fly through A Gate: Reinforcement Learning in Gym-PyBullet-Drones Environment

Fly through A Gate: Reinforcement Learning in Gym-PyBullet-Drones Environment

Fly through A Gate: Reinforcement Learning in Gym-PyBullet-Drones Environment

Minitaur locomotion in PyBullet, trained with ARS linear policy in 30 minutes (+reflection)

Minitaur locomotion in PyBullet, trained with ARS linear policy in 30 minutes (+reflection)

ARS: https://arxiv.org/abs/1803.07055

Bipedal Walking in PyBullet: Full-Order Robot Model

Bipedal Walking in PyBullet: Full-Order Robot Model

Project page: https://hackaday.io/project/160882-blackbird-bipedal-robot.

PyBullet Test

PyBullet Test

Testing communications to a rigid body physics sim.

Trained DDSM Agents in Improved PyBullet openAI Environment

Trained DDSM Agents in Improved PyBullet openAI Environment

Deep

PyBullet DeepMimic tracking of motion capture data using slerp+sphericalJointMotor

PyBullet DeepMimic tracking of motion capture data using slerp+sphericalJointMotor

The motion capture data is tracked using a spherical joint motor, instead of PD controller. Base is kinematically moved in this ...