BCQ — Batch-Constrained Deep Q-Learning

Discussion on a RL algorithm that exploit off-policy data.

Diagnosing Bottlenecks in DQN

Discussion on several concerns in deep (Q) learning.

SEED — Scalable Efficient Deep-RL

Discussion on a scalable reinforcement learning architecture that speeds up both data collection and learning process.

R2D2: Recurrent Replay Distributed DQN

Discussion on a distributed reinforcement learning architecture that incoporates a recurrent network into Ape-X.

IMPALA

Discussion on a distributed reinforcement learning architecture for policy gradient methods.

Ape-X

Discussion on a distributed reinforcement learning architecture for Q-learning methods.

DNC — Improving Differentiable Neural Computer

Discussion on several improvements on differentiable neural computer.

DNC — Differentiable Neural Computer

Discussion on Differentiable Neural Computer.

NTM — Neural Turing Machines

Discussion on Neural Turing Machines, an architecture able to utilize an external memory.

HPG — Hindsight Policy Gradients

Discussion on a policy-gradient method with hindsight experience