policy

CliffWalking-Reinforcement-Learning-Agent

KartikeyaVellanki · PyTorch

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Overview

Name
CliffWalking-Reinforcement-Learning-Agent
Author
KartikeyaVellanki
Framework
PyTorch
License
unknown
Skill type
locomotion
Evidence level
untested
Task description
Implementation of Q-Learning and SARSA reinforcement learning algorithms on the CliffWalking environment. Features epsilon-greedy exploration, policy visualization, and performance evaluation with trained models achieving optimal navigation strategies.

Spaces

Action space
other · 0-dim · 0Hz
Observation space
  • type: other

Links

HuggingFace repo
null
Paper (arXiv)
null

Compatible robots

20

Compatible environments

0

No environments list CliffWalking-Reinforcement-Learning-Agent yet.

Datasets that reference this policy

0

No datasets reference CliffWalking-Reinforcement-Learning-Agent yet.