Research map / Reinforcement learning / Policy gradient and actor-critic
On the Convergence and Sample Efficiency of Variance-Reduced Policy Gradient Method
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use TSIVR-PG instead of SVRPG, SRVR-PG, HSPGA and REINFORCE | policy gradient methods · FrozenLake, Acrobot, CartPole | return convergence speed | Helped |
| use TSIVR-PG instead of MaxEnt for a nonlinear concave objective | general utility RL · FrozenLake8x8 log-occupancy objective | objective value | Helped |
Closest papers by meaning
- Sample Efficient Policy Gradient Methods with Recursive Variance Reduction (ICLR 2020 · similarity 0.93)
- PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation (ICML 2022 · similarity 0.91)
- Reusing Trajectories in Policy Gradients Enables Fast Convergence (ICML 2026 · similarity 0.91)
- Stochastic Variance-Reduced Policy Gradient (ICML 2018 · similarity 0.91)
- Stochastic Variance Reduction Methods for Policy Evaluation (ICML 2017 · similarity 0.90)
- Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity (ICML 2025 · similarity 0.89)
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