Developer Rebuilds RL Agent Using DeepMind's Neural Network Library in Day 9 Haiku Project
agents deepmind google reinforcement-learning
| Source: Dev.to | Original article
Developer rewrites RL agent using DeepMind's neural network library.
A developer has rewritten their reinforcement learning agent using DeepMind's Neural Network Library, marking a significant milestone in their learning journey. This effort is part of a series where the developer is learning RL and JAX in public, starting from scratch and progressing to utilizing DeepMind's library.
The use of DeepMind's library, specifically Acme, is noteworthy as it provides a research framework for reinforcement learning, offering simple, efficient, and readable agents. This library has been instrumental in simplifying the development of novel RL agents and accelerating RL research.
As the developer continues to document their progress, it will be interesting to watch how their project evolves, particularly in terms of the capabilities and performance of their rewritten RL agent. The intersection of reinforcement learning and neural networks, as exemplified by DeepMind's work, continues to be a fascinating area of research with significant potential for innovation.
Sources
Back to AIPULSEN