policy
Deep-Reinforcement-Learning
Danial-par · PyTorch
or hover any field below to flag it
Overview
Name
Deep-Reinforcement-Learning
Author
Danial-par
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
Collection of 14 Reinforcement Learning course homeworks covering foundations, value-based, policy-based, actor-critic, model-based, bandits, exploration, imitation & inverse RL, offline, multi-agent, hierarchical, and meta-RL. Each with notebooks, questions, and solutions.
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
0No environments list Deep-Reinforcement-Learning yet.
Datasets that reference this policy
0No datasets reference Deep-Reinforcement-Learning yet.