Research map / Reinforcement learning / Policy gradient and actor-critic
Scalable Multitask Policy Gradient Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use distributed ADMM consensus solver for shared repository instead of centralized PG-ELLA update | multitask policy search · HC, 50 tasks | time to solve (seconds): ∼200 -> 9 | Helped |
| use Dist-MTLPS instead of PG-ELLA/GO-MTL/standard PG | eNAC policy search · five dynamical systems, average cost | average cost | Helped |
Closest papers by meaning
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- Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks (ICLR 2024 · similarity 0.88)
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