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README.md
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---
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pipeline_tag: reinforcement-learning
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library_name: pytorch
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language:
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- en
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tags:
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- reinforcement-learning
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- deep-reinforcement-learning
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- autonomous-vehicle
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model-index:
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- name: sac_v2-230704203226
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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value: 0.53 - 0.72
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name: mean-reward
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- name: sac_v2_lstm-230706072839
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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- type: mean-reward
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value: 0.62 - 0.76
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name: mean-reward
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-
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---
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This repository contains model weights for the agents performing in [RoadEnv](https://github.com/kengboon/RoadEnv).
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- Soft Actor-Critic (SAC) [[Agent](https://github.com/kengboon/RoadEnv/blob/main/rl_algorithms2/sac_v2.py)] [[Training](https://github.com/kengboon/RoadEnv/blob/main/scripts/training-sac_v2-2.py)] [[Test](https://github.com/kengboon/RoadEnv/blob/main/scripts/test-sac_v2.py)]
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## Usage
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```Python
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# Register environment
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from road_env import register_road_envs
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---
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pipeline_tag: reinforcement-learning
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tags:
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- reinforcement-learning
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- deep-reinforcement-learning
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- autonomous-vehicle
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model-index:
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- name: sac_v2-230704203226
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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value: 0.53 - 0.72
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name: mean-reward
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- name: sac_v2_lstm-230706072839
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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- type: mean-reward
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value: 0.62 - 0.76
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name: mean-reward
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license: cc-by-4.0
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---
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This repository contains model weights for the agents performing in [RoadEnv](https://github.com/kengboon/RoadEnv).
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- Soft Actor-Critic (SAC) [[Agent](https://github.com/kengboon/RoadEnv/blob/main/rl_algorithms2/sac_v2.py)] [[Training](https://github.com/kengboon/RoadEnv/blob/main/scripts/training-sac_v2-2.py)] [[Test](https://github.com/kengboon/RoadEnv/blob/main/scripts/test-sac_v2.py)]
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## Usage
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See the [getting started](https://github.com/kengboon/RoadEnv?tab=readme-ov-file#get-started) section of [RoadEnv](https://github.com/kengboon/RoadEnv).
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```Python
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# Register environment
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from road_env import register_road_envs
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