-
Tracking updates of www.redditgifts.com
-
1. Create observations per unit (obs_wrappers.py)
2. Create actions per unit and calculate log probs (policies.py)
3. Store new actions (buffers.py)
4. Create actions masks per unit (sb3_action_mas…
-
Hi,
Using your implementation of PPO, I can train a policy on the gym CartPole-v1 environment to consistently get 500 (maximum possible) reward in about ~1 minute, on my cpu without any gpu acceler…
-
![image](https://github.com/facebookresearch/Pearl/assets/16304232/e80e2d84-8889-421d-8e6e-3536df8ce62e)
During the use of Pearl, the consumption of VRAM keeps increasing continuously. Is there any w…
-
## 🚀 Feature
Implementation of more RL actor-critic based algorithms (models) like A2C, ACER, and TRPO.
### Motivation
The RL section in this project has very few popular algorithms, especially…
-
### 🐛 Bug
I have noticed that whenever, evalution run is executed, in the successive training log, the mean episode length becomes greater than my set episode horizon. So, I guess the agent doesnt …
-
This is tracking the next piece of https://github.com/dotnet/aspnetcore/issues/27576. **(Pointing out that this issue has additional 20 reactions)**
We want to provide the ability for circuits to b…
-
```
torch=2.1.0
transformers=4.35.0
peft == 0.7.1
```
Based on https://huggingface.co/docs/transformers/v4.36.1/en/peft I used to be able to train a multi-adapter model in an interactively way …
-
I don't see any example with the Actor Critic Method (Reinforcement Learning), does SciSharp/Keras.NET support this? If yes then an example would be very helpful.
Thanks!
-
Compared to a Linux kernel which is currently used by heads, SeaBIOS has a much smaller source code/binaries - means, a significantly smaller attack surface and less space consumed in CBFS - and yet S…