CARL
pomdp-baselines
| CARL | pomdp-baselines | |
|---|---|---|
| 1 | 5 | |
| 123 | 275 | |
| 4.1% | - | |
| 9.4 | 4.3 | |
| 3 months ago | 7 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
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.
pomdp-baselines
- Best recurrent RL library?
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In Latest Machine Learning Research, A Group at CMU Release a Simple and Efficient Implementation of Recurrent Model-Free Reinforcement Learning (RL) for Future Work to Use as a Baseline for POMDP Algorithms
Continue reading| Check out the paper, github link, project and reference article.
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[R] Recurrent Model-Free RL is a Strong Baseline for Many POMDPs
Code for https://arxiv.org/abs/2110.05038 found: https://github.com/twni2016/pomdp-baselines
What are some alternatives?
CausalWorld - CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
tianshou - An elegant PyTorch deep reinforcement learning library.
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.
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
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.
pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
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.
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
TeachMyAgent - TeachMyAgent is a testbed platform for Automatic Curriculum Learning methods in Deep RL.
minimalRL - Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
recurrent-ppo-truncated-bptt - Baseline implementation of recurrent PPO using truncated BPTT
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...