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GitHub / sichkar-valentyn / Reinforcement_Learning_in_Python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sichkar-valentyn%2FReinforcement_Learning_in_Python

Stars: 294
Forks: 97
Open issues: 3

License: mit
Language: Python
Size: 23.4 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: over 1 year ago
Pushed at: almost 3 years ago
Last synced at: over 1 year ago

Topics: maze-algorithms, maze-solver, obstacle-avoidance, path-planning, q-learning, q-learning-vs-sarsa, reinforcement-learning, reinforcement-learning-algorithms, rl-agents, rl-algorithms, rl-emulator, rl-environment, rl-experiments, rl-playground, rl-qlearning, rl-sarsa, sarsa, sarsa-learning, sarsa-search, shortest-path

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