Research map / Reinforcement learning / Policy gradient and actor-critic
Optimal Exploration for Model-Based RL in Nonlinear Systems
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Task-Driven Exploration instead of Gaussian or Uniform Exploration | Drone controller learning · Drone | episodes to excess controller cost 10: less than 20 episodes vs over 40 episodes; roughly a factor of 2 | Helped |
Closest papers by meaning
- FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems (ICML 2023 · similarity 0.91)
- ASID: Active Exploration for System Identification in Robotic Manipulation (ICLR 2024 · similarity 0.88)
- Parameter Exploration for RLVR via Variational Learning (NeurIPS 2026 · similarity 0.88)
- NeoRL: Efficient Exploration for Nonepisodic RL (NeurIPS 2024 · similarity 0.88)
- Analytical Lyapunov Function Discovery: An RL-based Generative Approach (ICML 2025 · similarity 0.87)
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