issues
search
AGI-Labs
/
continual_rl
Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.
MIT License
105
stars
11
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
Integrate Rainbow Policy
#13
tiencapham
opened
4 months ago
0
Residual Configs Missing
#12
SamNPowers
opened
1 year ago
0
Gymnasium
#11
Bpoole908
opened
1 year ago
0
Placeholder comment -- need to finish PRing.
#10
SamNPowers
closed
1 year ago
0
Look into integrating Ray (Tune)
#9
SamNPowers
opened
1 year ago
0
Full Parallel Environment Runner does not handle return_after_episode_num as expected/optimally
#8
SamNPowers
opened
1 year ago
0
ModuleNotFoundError: No module named 'past'
#7
furqon3009
opened
1 year ago
1
Enabling common configs (in this case, save frequency) for a policy, …
#6
SamNPowers
closed
1 year ago
0
Best place to add code that will act as "callbacks"?
#5
Bpoole908
closed
2 years ago
7
Clear replay buffer size
#4
skezle
closed
2 years ago
1
Minihack benchmark with impala doesn't finish running
#3
skezle
opened
2 years ago
16
NameNotFound error
#2
raymondchua
closed
2 years ago
1
Cannot run the impala-based policy
#1
tunglm2203
closed
3 years ago
2