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**Used commit:** 2901f36ce8b21225d541f1110a2c100861f59431
When running `ml/rl/test/gym/run_gym.py -p=ml/rl/test/gym/discrete_dqn_maxq_asteroids_v0.json` (as well as other Atari experiments), I obse…
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As of 5c252ea, this repo has been checked over several times for discrepancies, but is still unable to replicate DeepMind's results. This issue is to discuss any further points that may need fixing.
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Hi Max,
this is the Dueling DQN implementation from DeepMind: https://arxiv.org/pdf/1511.06581.pdf
**: Linux 16.04
- **Ray installed from (source or binary)**: Source
- **Ray version**:0.5.3
- **Python version…
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### Describe the problem
With TF 2.0 on the horizon, tensorflow models in rllib should not exclusively depend on variable scopes to reuse variables. Similarly, graph collections should be avoided in …
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Please help me understand why the previous state is always equal to the next state ?
if thats the case how will any NN will work on state.
```
import numpy as np
from q_learning.utils import Sca…
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Something like DQN would be nice. This would involve using some gym like environment, maybe [openai-gym](https://gym.openai.com/).
Two tutorials involving DQN and PyTorch: [tutorial 1](https://pyto…
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https://jsapachehtml.hatenablog.com/entry/2018/12/25/233937
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Thank you for these useful examples. I am trying to implement D4PG in multiple agents that interact with each other, share the same reward, but each agent takes its own actions. I wonder if you had an…