Comments (1)
Hi! Thank you for your kind message. I'm glad you like the library.
As explained in the paper, all the agents in Tonic can directly be used with distributed training. For example when using the training script you can specify the number of workers to use (parallel and sequential) for any agent, including D4PG. I agree that the name D4PG might be confusing when not using distributed training, but D3PG is already associated with a few different agents in the literature.
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Related Issues (12)
- [Feedback] Please consider using Hydra
- Training using reference data
- training custom envs HOT 1
- Can I ask you the difference between the MPO and the MO-MPO? I see you link to both
- In my system, python is alias to old Python 2.x HOT 1
- No support/benchmark results for Atari games HOT 3
- Win 10 compatibility issue with gym box (Comment Not an ISSUE) HOT 1
- Minimal plotting example returning error
- Plotting bug HOT 1
- How do you resume training from a checkpoint? HOT 1
- Any plans for CUDA support? HOT 4
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