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The Reactor: A Sample-Efficient Actor-Critic Architecture
https://arxiv.org/abs/1704.04651
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I am conducting reinforcement learning for a robot using rsl_rl and isaac lab. While it works fine with simple settings, when I switch to more complex settings (such as Domain Randomization), the foll…
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在运行书中DDPG的参考代码时,观察到随着训练的进行,actorloss 的值在不断的上升,criticloss的值也是上下飘忽不定
actorloss 的定义不是-q值吗?现在这个值越来越大不就意味着动作的q值越来越小吗?这不是与我们想最大化动作的q值的目的相反吗?
所以评价这个算法的好坏最终是要看他的奖励是否上升吗?
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my training environment is a docker image pulled from `deepspeed/deepspeed:v072_torch112_cu117`
and i run it with `docker run -it --gpus all --ipc=host --ulimit memlock=-1 --ulimit stack=67108864 --…
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I have successfully run step 1 and step 2 and generated the models, but encountered an error when running step 3:
"RuntimeError: The size of tensor a (5120) must match the size of tensor b (20480) a…
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# Learning to play Yahtzee with Advantage Actor-Critic (A2C) | dionhaefner.github.io
My in-laws are really into the dice game Yatzy (the Scandinavian version of Yahtzee). If you’re unfamiliar with th…
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When using where using hybrid engine, The output sequence always be 'a a a a ', while if I disabled hybrid engine,the output sequence is correct
here is my log with hybrid engine
```
***** Runn…
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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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Hi,
In step 3, run the following command and getting "OOM" when Initializing Ref Model (Actor Model initialized perfectly):
> Actor_Lr=9.65e-6
Critic_Lr=5e-6
deepspeed --master_port 12346 main…
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The actor reward graph should display both the predicted loss generated by the critic network (equivalent to the actor optimization loss) and the actual loss once the training episode is complete.