Research map / Reinforcement learning / Policy gradient and actor-critic
Generalized Proximal Policy Optimization with Sample Reuse
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Reuse samples from recent policies with generalized clipping and adaptive learning rate (GePPO instead of PPO) | PPO · Swimmer-v3 | average performance over 1M steps: 98 -> 161 | Helped |
| Reuse samples from recent policies with generalized clipping and adaptive learning rate (GePPO instead of PPO) | PPO · Hopper-v3 | average performance over 1M steps: 2{,}362 -> 2{,}544 | Helped |
| Reuse samples from recent policies with generalized clipping and adaptive learning rate (GePPO instead of PPO) | PPO · HalfCheetah-v3 | average performance over 1M steps: 1{,}764 -> 2{,}439 | Helped |
| Reuse samples from recent policies with generalized clipping and adaptive learning rate (GePPO instead of PPO) | PPO · Walker2d-v3 | average performance over 1M steps: 1{,}817 -> 2{,}199 | Helped |
| Reuse samples from recent policies with generalized clipping and adaptive learning rate (GePPO instead of PPO) | PPO · Ant-v3 | average performance over 1M steps: 545 -> 762 | Helped |
| Reuse samples from recent policies with generalized clipping and adaptive learning rate (GePPO instead of PPO) | PPO · Humanoid-v3 | average performance over 1M steps: 584 -> 665 | Helped |
| Use GePPO instead of PPO | PPO · Swimmer-v3 | steps (M) to final PPO performance: 1.00 -> 0.23 | Helped |
| Use GePPO instead of PPO | PPO · Hopper-v3 | steps (M) to final PPO performance: 1.00 -> 0.41 | Helped |
| Use GePPO instead of PPO | PPO · HalfCheetah-v3 | steps (M) to final PPO performance: 1.00 -> 0.54 | Helped |
| Use GePPO instead of PPO | PPO · Walker2d-v3 | steps (M) to final PPO performance: 1.00 -> 0.63 | Helped |
| Use GePPO instead of PPO | PPO · Ant-v3 | steps (M) to final PPO performance: 1.00 -> 0.79 | Helped |
| Use GePPO instead of PPO | PPO · Humanoid-v3 | steps (M) to final PPO performance: 1.00 -> 0.85 | Helped |
Closest papers by meaning
- Off-Policy Proximal Policy Optimization (AAAI 2023 · similarity 0.91)
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