nle VS ParlAI

precisely, I really hope someone does Nethack next and leverages the learning environment that's already customized for it.

You should look at The Nethack Learning Environment.

There's quite a few open-source Reinforcement Learning challenges that you can explore with modest amounts of compute in order to build some experience training RL models, for example the Nethack Learning Environment, Atari, Minigrid, etc. For me personally, I had only worked in NLP / dialogue for years but got into RL by implementing Random Network Distillation models for NetHack. It's a fun area that definitely has its own unique challenges vs other domains. -AM

The NetHack Learning Environment\ (2 comments)

Do you have https://github.com/facebookresearch/ParlAI installed? Looks like they're doing something weird with their flake8 config.

I would suspect similar to blenderbot2 from meta and parl.ai.

There's quite a few open-source Reinforcement Learning challenges that you can explore with modest amounts of compute in order to build some experience training RL models, for example the Nethack Learning Environment, Atari, Minigrid, etc. For me personally, I had only worked in NLP / dialogue for years but got into RL by implementing Random Network Distillation models for NetHack. It's a fun area that definitely has its own unique challenges vs other domains. -AM

I am intrigued by the model because it develops long term memory that it can access for future conversations which you can see in more detail on the model cards.

Continue reading | Check out the paper, project, github link and reference article.

I have tried to use parl.ai in the past. I actually wanted to play with blenderbot 1.0. I kinda hate this library because it isn't exactly quick and easy to learn. I ended up using the Huggingface version.

You probably meant to link this: https://github.com/facebookresearch/ParlAI/blob/main/project...