policy
Ball-Chaser-Reinforcement-Learning-
rishabh-2005 · PyTorch
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Overview
Name
Ball-Chaser-Reinforcement-Learning-
Author
rishabh-2005
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This Unity project features an agent trained using reinforcement learning algorithms through Unity ML-Agents, designed to interact with a ball within a simulated environment. Leveraging Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC) algorithms, the agent learns to manipulate its acti
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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