Triple
T1793199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atari deep Q-network |
E39543
|
entity |
| Predicate | inspiredAlgorithm |
P7215
|
FINISHED |
| Object |
Rainbow DQN
Rainbow DQN is a deep reinforcement learning algorithm that combines several key extensions to the original DQN—such as double Q-learning, prioritized replay, dueling networks, multi-step learning, distributional RL, and noisy nets—into a single, more performant agent.
|
E200562
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a88631854081909723959921e45c2b |
elicitation | completed |
| NER | batch_69abaffee0f88190aa7a42ef4a4e2bd2 |
ner | completed |
| NED1 | batch_69adb5d26afc81909675064289d3a5b8 |
ned_source_triple | completed |
| NED2 | batch_69adb8bac99081908cf126d42c609559 |
ned_description | completed |
| NEDg | batch_69adb69b142c81909dd8bd40e8e440ad |
nedg | completed |
Created at: March 4, 2026, 7:32 p.m.