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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