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chore: PPO system cleanup #1124

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Dec 3, 2024
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bad03c7
feat: rec ippo system clean up
sash-a Nov 1, 2024
5bf7188
feat: rec mappo system clean up
sash-a Nov 1, 2024
f77b782
feat: ff ippo system clean up
sash-a Nov 1, 2024
7c4da12
feat: ff mappo system clean up
sash-a Nov 1, 2024
d88191a
Merge branch 'develop' into chore/ppo-system-cleanup
sash-a Nov 4, 2024
c299eb4
chore: remove advanced usage
sash-a Nov 5, 2024
bc7236e
feat: mat system clean up
sash-a Nov 6, 2024
b3d6006
chore: pre-commit
sash-a Nov 6, 2024
a9f2050
Merge branch 'develop' into chore/ppo-system-cleanup
sash-a Nov 6, 2024
a3e5842
refactor: loss_actor -> actor_loss
sash-a Nov 7, 2024
1a6ad17
chore: unify value/critic loss naming
sash-a Nov 7, 2024
b16c44f
chore: merge dev
sash-a Nov 7, 2024
a11bc1a
feat: sable cleanup
sash-a Nov 8, 2024
394a301
Merge branch 'develop' into chore/ppo-system-cleanup
sash-a Nov 11, 2024
6491522
chore: add back advanced usage in examples
sash-a Nov 13, 2024
16c828e
chore: remove expired link to anakin notebook
sash-a Nov 13, 2024
27bdc2f
Merge branch 'develop' into chore/ppo-system-cleanup
sash-a Nov 13, 2024
e8a0c07
fix: updated sebulba
Louay-Ben-nessir Nov 14, 2024
aed2313
chore: renaming loss_X -> X_loss
Louay-Ben-nessir Nov 14, 2024
e99e4ac
Merge branch 'develop' into chore/ppo-system-cleanup
sash-a Nov 21, 2024
b3e1c01
Merge branch 'develop' into chore/ppo-system-cleanup
RuanJohn Nov 22, 2024
5f3a09a
chore: minor comment changes
RuanJohn Nov 26, 2024
b74059a
Merge branch 'develop' into chore/ppo-system-cleanup
RuanJohn Nov 26, 2024
900eca8
Merge branch 'develop' into chore/ppo-system-cleanup
sash-a Dec 3, 2024
81c108d
chore: remove jax.tree_map
sash-a Dec 3, 2024
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4 changes: 0 additions & 4 deletions README.md
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Expand Up @@ -184,10 +184,6 @@ python mava/systems/ff_ippo.py env=rware env/scenario=tiny-4ag

Additionally, we also have a [Quickstart notebook][quickstart] that can be used to quickly create and train your first Multi-agent system.

## Advanced Usage 👽
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Mava can be used in a wide array of advanced systems. As an example, we demonstrate recording experience data from one of our PPO systems into a [Flashbax](https://github.com/instadeepai/flashbax) `Vault`. This vault can then easily be integrated into offline MARL systems, such as those found in [OG-MARL](https://github.com/instadeepai/og-marl). See the [Advanced README](./mava/advanced_usage/) for more information.

## Contributing 🤝

Please read our [contributing docs](docs/CONTRIBUTING.md) for details on how to submit pull requests, our Contributor License Agreement and community guidelines.
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114 changes: 0 additions & 114 deletions mava/advanced_usage/README.md

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