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@nschneid wrote the other day regarding the analysis of reported speech in response to: @MagaliDuran, that "the policy was recently changed but not fully updated in the guidelines".
This took me b…
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Hi, thanks for your wonderful sharing. While from your code, in all your learning based algorithms, the total reward calculation is based on the instance_done, which means your reward is only the rewa…
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### 🐛 Bug
I have created a **Custom Environment** as well as **Custom ActorCritic Policy**. In the custom environment, I have two functions `reset` and `step`. I initialize a variable `score` to 0 in…
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Two performance metrics for quantifying performance of an RL training process:
(1) #hitting times: during the training, we evaluate the currently trained policy at every k (=2000) time steps. A "go…
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Hi,
I am interested in understanding the cost to go function across a broad range of different states, not just on chain.
With the default forward pass we end up only exploring the state space…
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Im sorry if its a simple problem its my first time using anything like that.
So when i start the script this error comes up:
Bot started - Commenting every minute
Unknown error, find the error in…
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https://arxiv.org/abs/1711.03156
- Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
- Submitted on 8 Nov 2017
- ICLR2018
TMats updated
6 years ago
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## 一言でいうと
On-Policyの実装で論文に書かれていない実装やパラメーターの影響を調べた研究。組み合わせの数は膨大なので候補は絞り込んでいる。損失関数はPPO、最終レイヤは重みを1/100にしてsoftplusの後マイナス方向スライドしたほうがいい、など細かすぎるテクニックが紹介されている
### 論文リンク
https://arxiv.org/abs/2006.059…
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In this example https://github.com/keras-team/keras-io/blob/master/examples/rl/actor_critic_cartpole.py, the gradient for the actor is defined as the gradient of loss $L = \sum \ln\pi (reward-value)$.…