policy
RL_Project-Generalising_game_environments_with_curiosity-driven_agents
difra100 · PyTorch
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Overview
Name
RL_Project-Generalising_game_environments_with_curiosity-driven_agents
Author
difra100
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
Curiosity-driven RL agent trained on Atari games using the Intrinsic Curiosity Module (ICM) with PPO. Experiments compare intrinsic-only, extrinsic-only, and combined reward strategies on Phoenix, with few-shot transfer to Space Invaders.
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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