Mar 6, 2017 · We propose Neural Episodic Control: a deep reinforcement learning agent that is able to rapidly assimilate new experiences and act upon them.

We propose Neural Episodic Control: a deep reinforcement learning agent that is able to rapidly assimilate new experiences and act upon them.

We propose Neural Episodic Control: a deep reinforcement learning agent that is able to rapidly assimilate new experiences and act upon them.

Episodic memory contains specific personal experiences, including people, places, emotions, communicative exchanges.

Jan 27, 2023 · This work introduces Neural Episodic Control with State Abstraction (NECSA), a simple but effective state abstraction-based episodic control.

Jul 2, 2024 · In this paper, we introduce an episodic control framework based on the temporal expansion of subsequent features to achieve these goals.

In this paper we propose Neural Episodic Control (NEC), a method which tackles the limitations of deep reinforce- ment learning listed above and demonstrates ...

This work proposes Neural Episodic Control: a deep reinforcement learning agent that is able to rapidly assimilate new experiences and act upon them, ...

This is my attempt at replicating DeepMind's Neural Episodic Control agent. It is currently set up for running with the ALE, but can easily be adapted for ...

Feb 1, 2023 · We propose NECSA, a simple and effective state abstraction-based episodic control containing a more comprehensive episodic memory, a novel state measurement,