reinforcement-learning-an-introduction-solutions and rl-sandbox
Both tools are independent implementations of solutions and algorithms from the same foundational textbook, making them competitors where a user would choose one or the other for studying and practicing reinforcement learning concepts.
Maintenance
0/25
Adoption
7/25
Maturity
16/25
Community
18/25
Maintenance
0/25
Adoption
4/25
Maturity
9/25
Community
14/25
Stars: 34
Forks: 13
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 6
Forks: 3
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m
No Package
No Dependents
Stale 6m
No Package
No Dependents
About reinforcement-learning-an-introduction-solutions
matteocasolari/reinforcement-learning-an-introduction-solutions
Implementations for solutions to programming exercises of Reinforcement Learning: An Introduction, Second Edition (Sutton & Barto)
About rl-sandbox
ocraft/rl-sandbox
Selected algorithms and exercises from the book Sutton, R. S. & Barton, A.: Reinforcement Learning: An Introduction. 2nd Edition, MIT Press, Cambridge, 2018.
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