SimpleReinforcementLearning VS dqn-atari

Compare SimpleReinforcementLearning vs dqn-atari and see what are their differences.

SimpleReinforcementLearning

A demonstration of table based, SARSA reinforcement learning for a simple cat/mouse game (by gtoubassi)

dqn-atari

A TensorFlow based implementation of the DeepMind Atari playing "Deep Q Learning" agent that works reasonably well (by gtoubassi)
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SimpleReinforcementLearning dqn-atari
1 1
2 91
- -
10.0 10.0
over 5 years ago almost 7 years ago
Java Python
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.
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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
    3 projects | news.ycombinator.com | 19 Sep 2023
    +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.

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
    3 projects | news.ycombinator.com | 19 Sep 2023
    +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 SimpleReinforcementLearning and dqn-atari 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.