Apr 4, 2021 · With transformer models as the learner and LSTMs as the actor, we demonstrate in several challenging memory environments that using Actor- ...
With transformer models as the learner and LSTMs as the actor, we demonstrate in several challenging memory environ- ments that using Actor-Learner Distillation ...
Jan 12, 2021 · The proposed procedure, called Actor-Learner Distillation (ALD), provides comparable performance to transformers in terms of sample efficiency, ...
This work develops an Actor-Learner Distillation procedure that leverages a continual form of distillation that transfers learning progress from a large ...
People also ask
What is the actor-critic method in reinforcement learning?
What is actor critic reinforcement learning Matlab?
What is a transformer model in NLP?
Is actor critic model based?
Apr 4, 2021 · In this paper, we present a solution to actor-latency constrained settings, “Actor-Learner Distillation”. (ALD), which leverages a continual ...
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation ... Learning, Reinforcement Learning, Incremental Learning, Learning in Robotics.
Read Wonders: This work develops an Actor-Learner Distillation procedure that leverages a continual form of distillation that transfers learning progress ...
Sep 30, 2021 · Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation. 本文主要聚焦于transformer 模型样本利用高（收敛所需的step 更 ...
Efficient Transformers in Reinforcement Learning Using Actor-Learner Distillation. 05:15. Efficient Transformers in Reinforcement Learning Using Actor-Learner ...
On Transforming Reinforcement Learning With Transformers: The ... Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation.