policy
Reinforcement-Learning-Agent-Portfolio
DoqCA · TensorFlow
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Overview
Name
Reinforcement-Learning-Agent-Portfolio
Author
DoqCA
Framework
TensorFlow
License
unknown
Skill type
other
Evidence level
untested
Task description
Designed and developed an interactive RL curriculum for Heart of Academy; Engineered custom game environments and interactive lesson notebooks for students to train agents using core RL algorithms (DQN, MCTS, Policy Gradients) and visualize the reinforcement learning process.
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
0+20 mentioned but not in catalog yetNo robots list Reinforcement-Learning-Agent-Portfolio as compatible yet. Know of one? Flag it above.
Compatible environments
0No environments list Reinforcement-Learning-Agent-Portfolio yet.
Datasets that reference this policy
0No datasets reference Reinforcement-Learning-Agent-Portfolio yet.