GitHub repository: theovincent/i-DQN
Primary language: Python
Description: iterated Q-Networks [TMLR 25] learns several Bellman iterations in parallel instead of learning them sequentially via repeated target updates ✨ This directly translates to performance improvements on the Atari and MuJoCo benchmarks 🚀