ai-traineree
dopamine
| ai-traineree | dopamine | |
|---|---|---|
| 1 | 3 | |
| 24 | 10,375 | |
| - | 0.2% | |
| 0.0 | 4.8 | |
| about 2 years ago | about 1 month ago | |
| Python | Jupyter Notebook | |
| Apache License 2.0 | Apache License 2.0 |
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ai-traineree
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Rainbow Library
Maybe you'll find this easy to use https://github.com/laszukdawid/ai-traineree
dopamine
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Fast and hackable frameworks for RL research
I'm tired of having my 200m frames of Atari take 5 days to run with dopamine, so I'm looking for another framework to use. I haven't been able to find one that's fast and hackable, preferably distributed or with vectorized environments. Anybody have suggestions? seed-rl seems promising but is archived (and in TF2). sample-factory seems super fast but to the best of my knowledge doesn't work with replay buffers. I've been trying to get acme working but documentation is sparse and many of the features are broken.
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RL review
You can also reference the source code for some of the popular implementations from open source RL libraries like stablebaselines3, RLlib, CleanRL, or Dopamine. These can help you if you’re trying to compare your implementation to a “standard”.
- Rainbow Library
What are some alternatives?
action-branching-agents - (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning
SuiSense - Using Artificial Intelligence to distinguish between suicidal and depressive messages (4th Place Congressional App Challenge)
autonomous-learning-library - A PyTorch library for building deep reinforcement learning agents.
imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
DQN-Atari - Deep Q-Learning (DQN) implementation for Atari pong.
airline-sentiment-streaming - Streaming with Airline Sentiment. Utilizing Cloudera Machine Learning, Apache NiFi, Apache Hue, Apache Impala, Apache Kudu
machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
nlpaug - Data augmentation for NLP
ElegantRL - Massively Parallel Deep Reinforcement Learning. 🔥
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
creative-prediction - Creative Prediction with Neural Networks