policy
Sim2real-domain-randomization
IvanNece · PyTorch
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Overview
Name
Sim2real-domain-randomization
Author
IvanNece
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
Exploreing domain randomization techniques to improve the robustness of reinforcement learning (RL) policies for sim-to-real transfer. The study focuses on environments like Hopper and Walker2d from OpenAI Gym, employing various domain randomization strategies to evaluate their impact on policy gene
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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