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Hi,
Thanks for the great implementation, I am currently learning RL and I am trying to adapt paac for a simple use case of CartPole. I made modifications to paac code to include a new environment…
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http://arxiv.org/pdf/1602.01783v1.pdf describes asynchronous methods using off policy (1 step /n step Q learning) and even on policy (sarsa and advantage actor-critic (A3C)) reinforcement learning.
T…
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Dear Danny
Thank you for the great work! I have two questions:
**1- Is it possible to change the “CliffWalk Actor Critic Solution.ipynb” code to implement Actor-Critic for Gym Arari games?**
I b…
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Hi Philip, I was wondering whether it's possible to manually set the emulator speed. It'd be nice to further increase the speed, say to 5000%, during training. Additionally, when demoing the RL agent,…
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Setting up openai/universe, I used the "universe starter agent" as a smoke test.
After adjusting the number of workers to better utilize my CPU, I saw the default PongDeterministic-v3 start winnin…
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Hi,
A non-technical question, I hope its OK to ask here in github...
I am working on continuous robot control problems and was wondering which approach you are following for the continuous branch. …
meppe updated
8 years ago
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Implement an algorithm that learns common baseline for Q-values
http://arxiv.org/pdf/1301.2315.pdf
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Greetings!
We happen to have just pushed into the open source one of the Lasagne-based library for reinforcement learning algorithm design.
- The repo's here: [AgentNet](https://github.com/yandexdatas…