makeReplayMemory: Experience Replay
In markdumke/reinforcelearn: Reinforcement Learning
View source: R/experience_replay.R
makeReplayMemory R Documentation
Experience Replay
Description
Create replay memory for experience replay.
Usage
makeReplayMemory(size = 100L, batch.size = 16L)
Arguments
size
[integer(1)]
Size of replay memory.
batch.size
[integer(1)]
Batch size.
Details
Sampling from replay memory will be uniform.
Value
[list(size, batch.size)]
This list can then be passed onto makeAgent, which will construct the
replay memory accordingly.
Examples
memory = makeReplayMemory(size = 100L, batch.size = 16L)
markdumke/reinforcelearn documentation built on Nov. 17, 2022, 12:53 a.m.
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View source: R/experience_replay.R
| makeReplayMemory | R Documentation |
Experience Replay
Description
Create replay memory for experience replay.
Usage
makeReplayMemory(size = 100L, batch.size = 16L)
Arguments
size |
[ |
batch.size |
[ |
Details
Sampling from replay memory will be uniform.
Value
[list(size, batch.size)]
This list can then be passed onto makeAgent, which will construct the
replay memory accordingly.
Examples
memory = makeReplayMemory(size = 100L, batch.size = 16L)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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