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[RLlib] CRR documentation #25667
[RLlib] CRR documentation #25667
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Nice work, Kourosh!
Need to also add link refs to crr from:
- Github readme: https://github.com/ray-project/ray/blob/master/rllib/README.rst
- RLlib docs index > Algorithms pull-down: https://docs.ray.io/en/master/rllib/index.html
New Algo Org:
Offline RL (put Off-policy Eval here): CRR, BC, MARWIL, CQL, OPE ("importance sampling" and "weighted importance sampling")
Model-free RL (split into off/on policy):
On-policy: APPO, PPO, IMPALA, A2C, A3C, PG
Off-policy: DQN, DDPG, TD3, SAC
Model-based RL: MBMPO, Dreamer
Derivative-free Algos: ES & ARS
RecSys and Bandits (or separate categories): LinUCB, LinTS, SlateQ
Multi-agent: QMIX, AlphaStar, MA-DDPG
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Great work @kouroshHakha , thanks for the PR.
Why are these changes needed?
Related issue number
Checks
scripts/format.sh
to lint the changes in this PR.