Research map / Reinforcement learning / MDPs and planning
Real-Time Reinforcement Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RTAC's state-value critic in place of SAC's action-value critic in the real-time setting | RTAC versus SAC · MuJoCo real-time | return | Helped |
| Apply SAC in the real-time RTMDP rather than the turn-based environment | SAC · MuJoCo | return | Hurt |
| Use RTAC rather than SAC | Continuous-control benchmarks · Ant and Humanoid | return | Helped |
| Use RTAC under real-time constraints rather than SAC without real-time constraints | Autonomous driving tasks · Avenue: RaceSolo and CityPedestrians | return | Helped |
| Merge the actor and critic networks (ablation) | RTAC · MuJoCo real-time | return | Helped |
| Add output normalization (ablation) | SAC · MuJoCo | return | Helped |
| Add output normalization (ablation) | RTAC with merged actor and critic networks · MuJoCo | return | Helped |
Closest papers by meaning
- When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL (NeurIPS 2024 · similarity 0.88)
- Reinforcement Learning When All Actions Are Not Always Available (AAAI 2020 · similarity 0.88)
- Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore (NeurIPS 2023 · similarity 0.88)
- Acting in Delayed Environments with Non-Stationary Markov Policies (ICLR 2021 · similarity 0.88)
- Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control (ICLR 2025 · similarity 0.86)
- Time-Constrained Robust MDPs (NeurIPS 2024 · similarity 0.86)
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