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When the learning rate or initial critic weights change, why the critic weights converge to different values? How to justify its optimality?
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Even after a bigger run, agents don't learn:
according to the pressurplate we have a reward in [-0.9,0] if the agent is in the same room of the assigned plate and reward [-1,...,-N] otherwise.
I tri…
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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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### 🚀 Feature
independently configurable learning rates for actor and critic in AC-style algorithms
### Motivation
In literature the actor is often configured to learn slower, such that the c…
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## 一言でいうと
Actor-Criticを使った強化学習で生成型要約を行う
要約文の質を上げるために、Criticの1つとして文がモデルによって生成された文か人間の文かを2値分類するモデルを使うのが特徴
これにより生成される文にOOVや###.#といったのノイズが入りにくくなる
### 論文リンク
https://arxiv.org/abs/1803.11070
###…
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In line 276 of CCM_MADDPG.py, I wonder why " newactor_action_var = self.actors[agent_id](states_var[:, agent_id, :]" instead of "newactor_action_var = self.actors[agent_id](next_states_var[:, agent_id…
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大佬您好:
我想请教一下vae在actor-critic网络中间起到的作用是什么,去掉之后会怎么样?
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In https://github.com/dennybritz/reinforcement-learning/blob/master/PolicyGradient/Continuous%20MountainCar%20Actor%20Critic%20Solution.ipynb,
I found every time step, the actor and value function a…
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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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训练配置如下:
```
--ref_num_nodes 1 --ref_num_gpus_per_node 2 --reward_num_nodes 1 --reward_num_gpus_per_node 2 --critic_num_nodes 1 --critic_num_gpus_per_node 4 --actor_num_nodes 2 --actor_num_gpus_per_n…