SEED RL
SEED RL
**SEED** (Scalable, Efficient, Deep-RL) is a scalable reinforcement learning agent. It utilizes an architecture that features centralized inference and an optimized communication layer. SEED adopts two state of the art distributed algorithms, [IMPALA](https://paperswithcode.com/method/impala)/[V-trace](https://paperswithcode.com/method/v-trace) (policy gradients) and R2D2 ([Q-learning](https://paperswithcode.com/method/q-learning)).
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
https://paperswithcode.com/paper/seed-rl-scalable-and-efficient-deep-rl-with-1
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference