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A symmetric logarithmic transformation used in DreamerV3 to handle reward scales that vary across different environments. Symlog compresses large values while preserving small values, enabling a single set of hyperparameters to work across diverse domains.
Symlog Predictions is a glossary concept in the techniques layer of the world models knowledge base.
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| Attribute | Value |
|---|---|
| Term | Symlog Predictions |
| Category | Techniques |
| Definition | A symmetric logarithmic transformation used in DreamerV3 to handle reward scales that vary across different environments. Symlog compresses large values while preserving small values, enabling a single set of hyperparameters to work across diverse domains. |
| Related Models | 1 |
| Related Research | 1 |
| Model | Lab | Category |
|---|---|---|
| DreamerV3 | Google DeepMind | Model-Based RL |
| Topic | Summary |
|---|---|
| Model-Based Reinforcement Learning | What model-based reinforcement learning is, how world models enable imagination-based planning, and why Dreamer, MuZero, PlaNet, and TD-MPC2 matter. |
| Term | Category | Definition |
|---|---|---|
| Latent Dynamics | Architecture | The learned transition function within a latent space that predicts how hidden states evolve over time in response to actions. Latent dynamics models avoid computationally expensive pixel-level predictions by operating in compressed representation space. |
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Published by world-models.io editorial board.
Lead editor Bernard Grenat.
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