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MagmaMultiAgent
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MagMA
Scalable RL Solution for Lux AI S2
MIT License
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Separate rewards for individual units or groups
#77
GergelyMagyar
closed
6 months ago
0
Play tournament with Kaggle models
#76
getlar
closed
3 months ago
0
Try different training parameters
#75
getlar
closed
3 months ago
0
Play matches with the trained model
#74
getlar
closed
3 months ago
0
Train baseline to 2.5M steps
#73
getlar
closed
3 months ago
0
Find simplified model that keep factories alive
#72
GergelyMagyar
closed
3 months ago
0
Create simplied reward models
#71
GergelyMagyar
closed
6 months ago
0
Improve action masking
#70
GergelyMagyar
closed
6 months ago
2
Train per unit v.0.0.2 on colab
#69
GergelyMagyar
closed
6 months ago
0
Remove unnecessary numpy to pytorch conversions from code
#68
GergelyMagyar
closed
6 months ago
0
Refact v0.0.2 original implementation
#67
GergelyMagyar
closed
6 months ago
0
Play the trained agent against one of the open source models from Kaggle.
#66
getlar
closed
3 months ago
0
Check GPU/CPU/RAM requirements for different num_environment sizes.
#65
getlar
closed
3 months ago
0
Train an agent locally and colab.
#64
getlar
closed
3 months ago
0
Move Action-per-Agent archiecture over to v0.0.2
#63
GergelyMagyar
closed
6 months ago
0
Add action queues for units on v0.0.2
#62
getlar
closed
6 months ago
0
Ditch SB3, upgrade to v0.0.2
#61
getlar
closed
6 months ago
0
Finish testing results on Wiki for Action per Agent Architecture (v0.0.1)
#60
getlar
closed
6 months ago
0
Finish testing results on Wiki for Monolithic Architecture (v0.0.1)
#59
getlar
closed
3 months ago
0
Create a way to view the agents during training, without slowing down the fps considerably
#57
GergelyMagyar
closed
6 months ago
5
Modify architecture so that actions are generated per unit
#56
GergelyMagyar
closed
6 months ago
3
Make sb3 tensor output quick fix vectorized to speed up training
#55
GergelyMagyar
closed
10 months ago
0
Make stable baselines handle tensor feature extractor output
#54
GergelyMagyar
closed
10 months ago
0
Make factory action model trainable
#53
GergelyMagyar
closed
10 months ago
0
Create a feature extractor network and observation parser for factory actions
#52
GergelyMagyar
closed
10 months ago
0
Train an agent on the CNN architecture
#51
getlar
closed
7 months ago
0
Connect CNN, Obs Parser and Reward Parser together
#50
getlar
closed
7 months ago
0
Custom reward parser for CNN
#49
getlar
closed
7 months ago
0
Custom M-PPO with Flax
#48
GergelyMagyar
closed
7 months ago
0
Update README.md
#47
getlar
closed
1 year ago
0
Implement scheduled unit inference on current MPPO model
#46
getlar
closed
11 months ago
0
Retrain the CNN on the original observation space encoding
#45
getlar
closed
11 months ago
0
Retrain a MPPO model on the extended action and observation space
#44
getlar
closed
11 months ago
0
Add factory options to create LIGHT units
#43
getlar
closed
11 months ago
0
Add factory actions such as planting lichen
#42
getlar
closed
11 months ago
0
Extend the action space of the HEAVY robot to also include self-destruct
#41
getlar
closed
11 months ago
0
Redo the conversion of the observation space to layered maps of resources and units.
#40
getlar
closed
11 months ago
0
Expand controller to handle multiple robots with the same model
#39
getlar
closed
1 year ago
1
Try building 2 HEAVY robots and use them with the single robot model
#38
getlar
closed
1 year ago
1
Build a custom CNN network and train an MPPO on CnnPolicy
#37
getlar
closed
1 year ago
1
Submit an Agent to Kaggle
#36
getlar
closed
1 year ago
1
Evaluate the M-PPO algorithm and log its metrics.
#35
getlar
closed
1 year ago
1
Add Stable Baselines 3 Contrib pip package to Docker env.
#34
getlar
closed
1 year ago
1
Fix README, add Train and Run Description to the "src" directory.
#33
getlar
closed
1 year ago
1
Submit a solution on Kaggle - Stage 1
#32
getlar
closed
1 year ago
1
Create a summarized result table for all algorithms, comparing training metrics.
#31
getlar
closed
1 year ago
1
Train an agent using Maskable PPO and evaluate it, log metrics.
#30
getlar
closed
1 year ago
1
Train an agent using TRPO and evaluate it, log metrics.
#29
getlar
closed
1 year ago
1
Train an agent using RecurrentPPO and evaluate it, log metrics.
#28
getlar
closed
1 year ago
1
Train an agent using QR-DQN and evaluate it, log metrics.
#27
getlar
closed
1 year ago
1
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