OpenDILabCommunity/rl_unplugged_dm_control_suite
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Information The RL Unplugged dataset is a comprehensive suite of benchmarks designed for offline reinforcement learning (RL). Offline RL methods allow agents to learn policies from logged datasets, bypassing the need for online interaction with the environment, which is crucial for real-world applications where online exploration may be costly, unsafe, or impractical. RL Unplugged includes a… See the full description on the dataset page: https://huggingface.co/datasets/OpenDILabCommunity/rl_unplugged_dm_control_suite.
| Author / organization | OpenDILabCommunity |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 504 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 30 October 2024 |
| Last updated at source | 30 October 2024 |
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- 16 Oct 2026 Description: RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Information The RL Unplugged dataset is a comprehensive suite of benchmarks designed for offline reinforcement learning (RL). Offline RL methods allow agents to learn po → RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning Information The RL Unplugged dataset is a comprehensive suite of benchmarks designed for offline reinforcement learning (RL). Offline RL methods allow agents to learn po
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