-
metaworld
Discontinued Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning [Moved to: https://github.com/Farama-Foundation/Metaworld] (by rlworkgroup)
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Hi r/reinforcementlearning! I recently started to be interested in meta-reinforcement learning, and I am particularly interested in models using recurrent neural networks such as RL2. But after few search I found that most of the recent approach for meta-reinforcement learning is based on MARL method, Although RL2 performed very well in meta rl benchmark paper, meta-world. And it was hard to find follow-up research of RL2 at the same time. Does anyone knows about follow-up researches of RL2?
Related posts
-
Which python library to pick for RL as a beginner
-
Actor-critic reinforce-style gradient with entropy regularization vs soft actor-critic
-
Do you have any recommendation on a Reinforcement Learning library for Python?
-
How to do unit testing for reinforcement learning
-
Looking for Maintainers/Contributors for Metaworld