-
RLeXplore
RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
-
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.
Definitely up for giving it a go - I recently put together an SB3 callback that integrates with the Rlexplore baselines https://github.com/yuanmingqi/rl-exploration-baselines/issues/3 so have a bit of experience with this sort of thing.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a more popular project.
Related posts
-
[P] Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework
-
Introducing PPO and Rainbow DQN to our super fast evolutionary HPO reinforcement learning framework
-
[P] Significant improvements for multi-agent reinforcement learning!
-
10x faster reinforcement learning hyperparameter optimization than SOTA - now with distributed training!
-
[P] 10x faster reinforcement learning HPO - now for RLHF!