CausalWorld
CARL
CausalWorld | CARL | |
---|---|---|
1 | 1 | |
201 | 123 | |
2.5% | 4.1% | |
0.0 | 9.4 | |
over 1 year ago | 3 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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.
CausalWorld
CARL
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Looking for environments for Curriculum Learning
Check out CARL and the list in this survey of generalization in RL. There's also TeachMyAgent, though I'm not sure if that's what you're looking for.
What are some alternatives?
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees
Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
habitat-api - A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators. [Moved to: https://github.com/facebookresearch/habitat-lab]
transformer_generalization - The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We significantly improve the systematic generalization of transformer models on a variety of datasets using simple tricks and careful considerations.
OmniIsaacGymEnvs-DofbotReacher - Dofbot Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
pomdp-baselines - Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
OmniIsaacGymEnvs-UR10Reacher - UR10 Reacher Reinforcement Learning Sim2Real Environment for Omniverse Isaac Gym/Sim
TeachMyAgent - TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.