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StepNeverStop committed Jan 8, 2021
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12 changes: 9 additions & 3 deletions README.md
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# RLs
<div align="center">
<a href="https://github.com/StepNeverStop/RLs">
<img width="auto" height="200px" src="./pics/logo.png">
</a>
</div>

:evergreen_tree::evergreen_tree::evergreen_tree:
<br/>

Reinforcement Learning Algorithm Based On TensorFlow 2.x.
<div align="center">
<p><strong>RLs:</strong> Reinforcement Learning Algorithm Based On TensorFlow 2.x.</p>
</div>

This project includes SOTA or classic RL(reinforcement learning) algorithms used for training agents by interacting with Unity through [ml-agents](https://github.com/Unity-Technologies/ml-agents/tree/release_12) Release 12 or with [gym](https://github.com/openai/gym). The goal of this framework is to provide stable implementations of standard RL algorithms and simultaneously enable fast prototyping of new methods.

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4 changes: 3 additions & 1 deletion rls/algos/single/curl.py
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Expand Up @@ -93,7 +93,9 @@ def __init__(self,
'actor_continuous': {
'share': [128, 128],
'mu': [64],
'log_std': [64]
'log_std': [64],
'soft_clip': False,
'log_std_bound': [-20, 2]
},
'actor_discrete': [64, 32],
'q': [128, 128],
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4 changes: 3 additions & 1 deletion rls/algos/single/sac.py
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Expand Up @@ -34,7 +34,9 @@ def __init__(self,
'actor_continuous': {
'share': [128, 128],
'mu': [64],
'log_std': [64]
'log_std': [64],
'soft_clip': False,
'log_std_bound': [-20, 2]
},
'actor_discrete': [64, 32],
'q': [128, 128]
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4 changes: 3 additions & 1 deletion rls/algos/single/sac_v.py
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Expand Up @@ -34,7 +34,9 @@ def __init__(self,
'actor_continuous': {
'share': [128, 128],
'mu': [64],
'log_std': [64]
'log_std': [64],
'soft_clip': False,
'log_std_bound': [-20, 2]
},
'actor_discrete': [64, 32],
'q': [128, 128],
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4 changes: 3 additions & 1 deletion rls/algos/single/tac.py
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Expand Up @@ -32,7 +32,9 @@ def __init__(self,
'actor_continuous': {
'share': [128, 128],
'mu': [64],
'log_std': [64]
'log_std': [64],
'soft_clip': False,
'log_std_bound': [-20, 2]
},
'actor_discrete': [64, 32],
'q': [128, 128]
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