dqn-atari
A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well (by gtoubassi)
SimpleReinforcementLearning
A demonstration of table based, SARSA reinforcement learning for a simple cat/mouse game (by gtoubassi)
| dqn-atari | SimpleReinforcementLearning | |
|---|---|---|
| 1 | 1 | |
| 91 | 2 | |
| - | - | |
| 10.0 | 10.0 | |
| almost 7 years ago | over 5 years ago | |
| Python | Java | |
| - | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
dqn-atari
Posts with mentions or reviews of dqn-atari.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-19.
-
Q-Transformer: Scalable Reinforcement Learning via Autoregressive Q-Functions
+1 you beat me to the punch! I think its helpful to start with simple RL and ignore the "deep" part to get the basics. The first several lectures in this series do that well. It helped me build a simple "cat and mouse" RL simulation https://github.com/gtoubassi/SimpleReinforcementLearning and ultimately a reproduction of the DQN atari game playing agent: https://github.com/gtoubassi/dqn-atari.
SimpleReinforcementLearning
Posts with mentions or reviews of SimpleReinforcementLearning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-09-19.
-
Q-Transformer: Scalable Reinforcement Learning via Autoregressive Q-Functions
+1 you beat me to the punch! I think its helpful to start with simple RL and ignore the "deep" part to get the basics. The first several lectures in this series do that well. It helped me build a simple "cat and mouse" RL simulation https://github.com/gtoubassi/SimpleReinforcementLearning and ultimately a reproduction of the DQN atari game playing agent: https://github.com/gtoubassi/dqn-atari.
What are some alternatives?
When comparing dqn-atari and SimpleReinforcementLearning you can also consider the following projects:
RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.