rl_games
OmniIsaacGymEnvs-DofbotReacher
rl_games | OmniIsaacGymEnvs-DofbotReacher | |
---|---|---|
2 | 2 | |
744 | 35 | |
- | - | |
5.3 | 8.0 | |
9 days ago | 6 months ago | |
Jupyter Notebook | Python | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
rl_games
-
Exporting a RL Policy From Isaac Gym for Dofbot
Source Example: https://github.com/Denys88/rl_games/blob/master/notebooks/train_and_export_onnx_example_continuous.ipynb
-
V-MPO - what do you think
I tried to reproduce it in my library you can take a look at implementation (https://github.com/Denys88/rl_games/pull/177) you can find even a few configs - moonlander and cartpole works good..
OmniIsaacGymEnvs-DofbotReacher
-
Exporting a RL Policy From Isaac Gym for Dofbot
Original Repo: https://github.com/j3soon/OmniIsaacGymEnvs-DofbotReacher
- Isaac Gym / Sim2Real Transfer
What are some alternatives?
Practical_RL - A course in reinforcement learning in the wild
OmniIsaacGymEnvs-UR10Reacher - UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
Excolligere - Forked Repo of J3soon's OmniIsaacGym-DofbotReacher
OmniIsaacGymEnvs - Reinforcement Learning Environments for Omniverse Isaac Gym
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
seed_rl - SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
CausalWorld - CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning