policy

Obstacle_avoidance_using_RL

GayathriRangu · PyTorch

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Overview

Name
Obstacle_avoidance_using_RL
Author
GayathriRangu
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
A Webots robot is programmed to learn avoiding obstacles using model-free RL algorithms such as Q-Learning and State-Action-Reward-State-Action (SARSA).

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 yet

Compatible environments

0

No environments list Obstacle_avoidance_using_RL yet.

Datasets that reference this policy

0

No datasets reference Obstacle_avoidance_using_RL yet.