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Hi,
Is there any support for the off-policy counterpart of A2C (ACER algorithm) that can be made based on this repo?
This is a very useful repo that we mostly use, and also nice to have its comp…
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## Habitat-Lab and Habitat-Sim versions
Habitat-Lab: vx.x.x or master?
master
Habitat-Sim: vx.x.x or master?
v2.4.0
Habitat is under active development, and we advise users to restrict themselves…
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when I use 4 * A100 80G to run step3 with llama2-7b(actor_model) tiny-llama-1.1B(ref_model),it will used 53848MB memory in generation and in training used 79610MB memory . when I use 8 * A100 80G to …
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https://arxiv.org/abs/1706.02275
- Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
- Submitted on 7 Jun 2017 (v1), last revised 16 Jan 2018 (this version, v3)
TMats updated
6 years ago
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Helly @AliiRezaei ,
Nice work. Thank you so much for sharing it. I am really interested particularly due to your work in C++. I am just wondering if we change the algorithm from discrete actions to…
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where is multi-step loss function and entropy loss function?
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https://github.com/leggedrobotics/rsl_rl/blob/master/rsl_rl/modules/actor_critic.py#L121
The action noise had better use positive parameterization, e.g.
self.distribution = Normal(mean, torch.ones_…
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## 一言でいうと
マルチエージェントの強化学習について、どのような学習方法が良いのかについての研究。Actor/Criticモデルを適用し、個々のプレイヤー(Actor)にコーチ(Critic)をつける形で学習するのが良いとのこと。コーチは他のプレイヤーの状況を把握でき、その上で最適な指示を行う
![multi_rl](https://user-images.githubuserco…
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### Reproduce error
- flax 0.7.5
- jaxlib 0.4.21+cuda12.cudnn89
- Ubuntu 22.04
Running
```bash
XLA_PYTHON_CLIENT_PREALLOCATE=false python train_finetuning_pixels.py --env_name=cheetah-run-v0…
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The current implement only saves the model after all the epochs finishes.
[DeepSpeedExamples/applications/DeepSpeed-Chat/training/step3_rlhf_finetuning/main.py](https://github.com/microsoft/DeepSpe…