Research map / Reinforcement learning / Visual and representation RL
Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Remove bidirectional goal curriculum (keep auxiliary agent) (ablation) | IBC · Sawyer Door, Tabletop Manipulation, Fetch environments, Point-U-Maze | evaluation success rate | Hurt |
| Remove both bidirectional curriculum and auxiliary agent (ablation) | IBC · Sawyer Door, Tabletop Manipulation, Fetch environments, Point-U-Maze | evaluation success rate | Hurt |
| Remove bidirectional curriculum from IBC in Tabletop Manipulation (ablation) | IBC · Tabletop Manipulation | evaluation success rate | No clear effect |
| Replace SAC agent with C-learning (reward-free variant, no bidirectional curriculum) (ablation) | IBC · Fetch and other environments | evaluation success rate | Mixed |
| Use demonstration-free VaPRL instead of demonstration-based VaPRL | VaPRL baseline · Main ARL benchmarks | evaluation success rate | Hurt |
| Add velocity inputs to Sawyer Door state (ablation) | IBC and baselines · Sawyer Door | final average success rate | Helped |
Closest papers by meaning
- Autonomous Reinforcement Learning: Formalism and Benchmarking (ICLR 2022 · similarity 0.91)
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- Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency (ICLR 2024 · similarity 0.89)
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