-
**Summary !!!**
- **BioModel Name**: Zeng2022 - Prediction of molecular properties and drug targets using a self-supervised learning framework
- **BioModel Tag**: fair AIML, Machine learning mo…
-
Hello developers, I am trying to customize aircombat env, the aircombat environment included in MARLlib, but I have encountered some problems in the post-customization training process, specifi…
-
**Describe the feature**
I've noticed that there are a few issues (#8, #13, #15, #20, #40) mention that it's hard to train RL policy (PG, PPO, GDPL). Thanks all of you, we have fixed some bugs. To he…
-
# OpenAI Retro Contest #
- Author: openai
- Origin: https://contest.openai.com/details
- Related:
- Retro Contest: Results https://blog.openai.com/first-retro-contest-retrospective/
- Gott…
-
When I use trained model to eval on the updated env, I got following error:
`ValueError: Error: Unexpected observation shape (210,) for Box environment, please use (211,) or (n_env, 211) for the ob…
-
Hello,
I am interested in performing posterior interference with various simulation models, such as agent based models. I was wondering whether that is possible with your package. One example in P…
-
(Started from discussions in #344)
## Official 'suggest an agent' thread for Huginn!!
**Have a cool idea for an agent that you want to see implemented?**
- Firstly, please check to see if the agent i…
-
I found it very slow when training graph_navigation scenario, it took 4 days to train a model of 5 agents with RTX3090. I removed the transformer in gnn and it still takes 2 days. Do you have any idea…
-
When I have a code like this:
class PongRamEnvironment(Environment):
def __init__(self):
self.base_env=Environment.create(
environment='gym', level='Pong-ram-v4',max_episode…
-
Human-sized games could be too complex for the algorithms. We will implement smaller versions of the games like Dou Dizhu, Majong, UNO, to make it feasible for research. Thanks for the feedback from t…