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If you're unfamiliar with eligibility traces, they basically unify temporal-difference learning with monte carlo methods -- essentially you hold a buffer in memory of an agent's experience and perform…
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 and I found a few errors.
1. In the "Value Functions" section, half way …
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Not sure if you are interested but I have written a tutorial for building a basic agent:
https://medium.com/@skjb/building-a-basic-pysc2-agent-b109cde1477c
https://medium.com/@skjb/building-a-smar…
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Given this code that's similar to https://github.com/thomasdeneux/param_qt/blob/master/test_ParamQt.py#L98:
```
class PosPar(pm.Parameterized):
shape = GObjectSelector('star',
…
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Hi,
I'm trying to integrate a model-based RL algorithm to the d3rlpy library but couldn't find any documentation to know where & how to begin. Would really appreciate if you could please point me w…
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Hi，it is me again (hhh
When I run the example like this：
```
import d3rlpy
# prepare dataset
dataset, env = d3rlpy.datasets.get_d4rl('hopper-medium-v0')
# prepare algorithm
cql = d3rlpy.alg…