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markusdumke
/
reinforcelearn
R Package for Reinforcement Learning
https://markusdumke.github.io/reinforcelearn/
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Some help setting up a toy example: where to define the action space?
#37
b-rodrigues
opened
4 years ago
0
an error reported using kera neural network model
#36
zh-zhang1984
opened
5 years ago
0
interact with OpenAI gyms
#35
OGuggenbuehl
opened
5 years ago
0
Fix cran issues
#34
markusdumke
closed
5 years ago
0
Fix issues with new R Version 3.6.0
#33
markusdumke
closed
5 years ago
1
Errors in the Agents vignette
#32
russellcameronthomas
opened
6 years ago
7
Update master after cran submission
#31
markusdumke
closed
6 years ago
0
update to new design
#30
markusdumke
closed
6 years ago
0
update work to new design
#29
markusdumke
closed
6 years ago
0
keras training is too slow
#28
berndbischl
opened
6 years ago
2
qlearning et all: no arg check on class for first arg. that must be an RL environment
#27
berndbischl
closed
6 years ago
0
more uninformative error
#26
berndbischl
closed
6 years ago
0
fun.approx = "neural.network" uninformative error
#25
berndbischl
closed
6 years ago
0
README: we should copy the install instructs for openai gym and keras to our readme
#24
berndbischl
opened
6 years ago
0
qlearning et al: preprocessState docs
#23
berndbischl
opened
6 years ago
0
how can i run my learned policy
#22
berndbischl
closed
6 years ago
1
what happens in eg mountaincar if the car is not pushed to the top?
#21
berndbischl
closed
6 years ago
1
env printer seems to be not informative enough
#20
berndbischl
closed
6 years ago
1
?qlearning et al are missing precise docs for return value
#19
berndbischl
closed
6 years ago
0
can we have a better startup procedure for ai gym?
#18
berndbischl
closed
6 years ago
1
sarsa on mountaincar leads to uninformative error - because we have no func approx
#17
berndbischl
closed
6 years ago
0
it would be nice if states and actions have string names
#16
berndbischl
closed
6 years ago
1
is there an R6 object to represent a policy?
#15
berndbischl
closed
6 years ago
1
can we visualize policy steps and what happens during learning?
#14
berndbischl
closed
6 years ago
1
Error when calling `makeEnvironment` after start of Rstudio
#13
markusdumke
closed
6 years ago
5
Test for Sarsa fails
#12
markusdumke
closed
7 years ago
0
MonteCarlo Control with Exploring Starts not working
#11
markusdumke
closed
7 years ago
0
Implement algorithms with value-function approximation
#10
markusdumke
closed
7 years ago
0
Implement lambda version of sarsa
#9
markusdumke
closed
7 years ago
0
Double Q-Learning not working
#8
markusdumke
closed
7 years ago
0
Implement MC control
#7
markusdumke
closed
7 years ago
0
Expected Sarsa not giving the expected results on gridworld
#6
markusdumke
closed
7 years ago
0
Implement Policy Iteration and Value Iteration
#5
markusdumke
closed
7 years ago
0
TD not working
#4
markusdumke
closed
7 years ago
0
predictMC not working
#3
markusdumke
closed
7 years ago
0
fix bug in gridworld.R
#2
markusdumke
closed
7 years ago
0
implement gridworld as R6 class
#1
markusdumke
closed
7 years ago
0