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### Proposal
I was wondering if there's interest in making humanoid part of D4RL. The dataset was introduced in the following paper
Paper: https://arxiv.org/abs/2305.14550
The link for the d…
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Hello:
I found that there are no datasets in hvacl_offline_rl. Could you upload it?
By the way, could you tell me what is the datase made of?
I have sucessfully made an Online RL test based on …
agl71 updated
1 month ago
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https://arxiv.org/html/2405.14734v1
Claims to have better performance than all previous offline rl training methods.
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Hi, first of all, great work. This is a very useful library for research on RL and NLP. It will be very helpful if it's possible to add off-policy RL methods like Q-learning, SAC, etc. along with benc…
Div99 updated
3 weeks ago
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Hello,
I am trying to understand the connection between the DeD and lifegate. How is the data trained using DeD being tested on the lifegate environment?
I was looking on the provided scripts to se…
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Proposal
I was wondering if there's interest in making humanoid part of D4RL. The dataset was introduced in the following paper
Paper: https://arxiv.org/abs/2305.14550
The link for the data is …
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Hi, thanks for sharing this amazing project!
I have successfully run example.py and example_agent.py. Here are two questions I currently have:
1. It really confused me that example_agent.py seems …
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I am working in the field of reinforcement learning research, particularly in medical applications.
My inquiry is about using pre-collected offline data (encompassing state, action, next state, an…
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- [x] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [x] ne…
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- [x] I have marked all applicable categories:
+ [ ] exception-raising bug
+ [ ] RL algorithm bug
+ [ ] documentation request (i.e. "X is missing from the documentation.")
+ [x] ne…