Research map / Optimization / Nonconvex and smooth optimization
Stochastic Variance-Reduced Policy Gradient
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SVRPG instead of G(PO)MDP | G(PO)MDP policy gradient · Cart-pole | online performance | Helped |
| Use self-normalized importance sampling in SVRPG (ablation) | SVRPG · Swimmer | online performance | Helped |
| Use self-normalized SVRPG instead of G(PO)MDP | G(PO)MDP policy gradient · Swimmer | online performance | Helped |
| Use self-normalized SVRPG instead of G(PO)MDP | G(PO)MDP policy gradient · Half-Cheetah with critic | online performance | Helped |
| Use self-normalized SVRPG instead of G(PO)MDP | G(PO)MDP policy gradient · Half-Cheetah with critic | variance | Helped |
Closest papers by meaning
- On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method (NeurIPS 2021 · similarity 0.91)
- Sample Efficient Policy Gradient Methods with Recursive Variance Reduction (ICLR 2020 · similarity 0.90)
- Stochastic Variance Reduction Methods for Policy Evaluation (ICML 2017 · similarity 0.89)
- Learning Optimal Deterministic Policies with Stochastic Policy Gradients (ICML 2024 · similarity 0.88)
- Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity (ICML 2025 · similarity 0.87)
- Policy Evaluation for Variance in Average Reward Reinforcement Learning (ICML 2024 · similarity 0.86)
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