rlai
habitat-lab
rlai | habitat-lab | |
---|---|---|
1 | 3 | |
7 | 1,720 | |
- | 2.5% | |
8.9 | 9.2 | |
22 days ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
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rlai
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Python libraries for solving reinforcement learning problems implemented in OpenAI gym
I've worked through several OpenAI Gym environments with my RL library, which is based almost entirely on the RL textbook by Sutton and Barto (case studies here). No neural networks, nothing too fancy. But I do explore JAX for policy gradient methods / continuous control.
habitat-lab
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[D] Looking for open source projects to contribute
There are plenty of them out there. I spend a lot of time contributing to open source projects like Habitat-Sim https://github.com/facebookresearch/habitat-sim and Habitat-Lab https://github.com/facebookresearch/habitat-lab which have a ton of open issues and code maintaince stuff that we would welcome contributions of.
- Accelerate PPO training
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Facebook AI Introduces Habitat 2.0: Next-Generation Simulation Platform Provides Faster Training For AI Agents With Tactile Perception
Github: https://github.com/facebookresearch/habitat-lab
What are some alternatives?
d3rlpy - An offline deep reinforcement learning library
ai2thor-rearrangement - 🔀 Visual Room Rearrangement
Coursera_Reinforcement_Learning - Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
Autonomous-Ai-drone-scripts - State of the art autonomous navigation scripts using Ai, Computer Vision, Lidar and GPS to control an arducopter based quad copter.
mini-cheetah-tmotor-python-can - Python Motor Driver for Mini-Cheetah based Actuators: T-Motor AK80-6/AK80-9 using SocketCAN Interface
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
carla - Open-source simulator for autonomous driving research.
habitat-sim - A flexible, high-performance 3D simulator for Embodied AI research.
holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research.
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, ... 🧠
bootcamp - Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
docarray - Represent, send, store and search multimodal data