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---
tags:
- LunarLanderContinuous-v2
- reinforce
- reinforcement-learning
- custom-implementation
model-index:
- name: REINFORCE-LunarLanderContinuous-v2
results:
- task:
type: reinforcement-learning
name: reinforcement-learning
dataset:
name: LunarLanderContinuous-v2
type: LunarLanderContinuous-v2
metrics:
- type: mean_reward
value: 264.10 +/- 37.17
name: mean_reward
verified: false
---
# **Reinforce** Agent playing **LunarLanderContinuous-v2**
This is a custom agent. Performance has been measured over 900 episodes.
To try the agent, user needs to import the ParameterisedPolicy class from the Agent_class.py file. </br>
Training progress:
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