panda-gym
habitat-api
| panda-gym | habitat-api | |
|---|---|---|
| 3 | 1 | |
| 446 | 752 | |
| - | - | |
| 5.3 | 8.4 | |
| 5 months ago | over 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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panda-gym
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Hyperparameters for pick&place with Franka Emika manipulator
I'm trying to solve pick&place (and possibly also the other tasks in this repository) with Franka Emika Panda manipulator implemented in Mujoco. I've tried for long with stable_baseline3 but without any results, someone told me to try with RLLib because has better implementation (?), but still I can't find any solution...
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SAFE-PANDA-GYM a modification to Panda - Gym to train Safe-RL agents
We develop a modification to the Panda Gym by adding constraints to the environments like Unsafe regions and, constraints on the task. The aim is to develop an environment to test CMDPs (Constraint Markov Decision Process) / Safe-RL algorithms such as CPO, PPO - Lagrangian and algorithms developed by the team. Agents would not only have to come up with optimal policy for control and planning but also ensure they don't violate a constraint.
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Did anyone try Panda-Gym?
The acquisition of Mujoco makes Openai to remove the robotics from their repo. I had no choice but to find an alternative. Then I found https://github.com/qgallouedec/panda-gym which is built on PyBullet.
habitat-api
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DD-PPO, TD3, SAC: which is the best?
Code for https://arxiv.org/abs/1911.00357 found: https://github.com/facebookresearch/habitat-api
What are some alternatives?
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