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twni2016
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pomdp-baselines
Simple (but often Strong) Baselines for POMDPs in PyTorch, ICML 2022
https://sites.google.com/view/pomdp-baselines
MIT License
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Update main.py
#22
yiqiaoc11
closed
11 hours ago
0
MuJoCo：hyperparameters used for PPO_GRU and A2C_GRU
#21
floraljq
closed
4 months ago
1
Double Episode in minibatch
#20
SandervanL
closed
10 months ago
1
Hidden state for subsequence
#19
kbkartik
closed
11 months ago
1
TypeError at POMDPWrapper
#18
SandervanL
closed
1 year ago
1
bug report
#17
xiansheng155
closed
1 year ago
1
Q Overestimation
#16
smorad
opened
1 year ago
1
Same image encoder for RNN and Actor/Critic shortcut?
#15
RobertMcCarthy97
closed
1 year ago
1
Refactor the code on RL
#14
twni2016
closed
2 years ago
0
Prepare for ICML camera ready
#13
twni2016
closed
2 years ago
0
Handle cases when the episode length < 2
#12
hai-h-nguyen
closed
2 years ago
4
Potential bug?
#11
hai-h-nguyen
closed
2 years ago
2
Plan for recurrent soft Q-learning and DRQN?
#10
hai-h-nguyen
closed
2 years ago
1
Update gym to 0.21 for atari
#9
twni2016
closed
2 years ago
0
Introduce RAM-efficient seq buffer
#8
twni2016
closed
2 years ago
0
Report RAM usage
#7
twni2016
closed
2 years ago
0
Dependency update: using conda yml
#6
twni2016
closed
2 years ago
0
reduce buffer RAM
#5
twni2016
closed
2 years ago
0
Sac discrete: make all default flags `None`
#4
twni2016
closed
2 years ago
0
Sac discrete: support fixed alpha tuning
#3
twni2016
closed
2 years ago
0
Pixel observation with recurrent SAC-Discrete
#2
twni2016
closed
2 years ago
2
introduce recurrent sac-discrete
#1
twni2016
closed
2 years ago
7