PopArt: Preserving Outputs Precisely, while Adaptively Rescaling Targets

Discussion on a method that can learn values across many orders of magnitudes.

SchedNet — Schedule Network

Discussion on a multi-agent reinforcement learning algorithm that schedules communication between cooperative agents.

PR2 — Probabilistic Recursive Reasoning

Discussion on a multi-agent reinforcement learning algorithm that recursively reason the opponents’ behavior.

MADDPG — Multi-Agent-Deep deterministic Policy Gradient

Discussion on a multi-agent reinforcement learning algorithm that follows the framework of centralized training with decentralized execution.

EMI — Exploration with Mutual Information

Discussion on a novel exploration method based on representation learning

QWeb

Discussion on how to solve the web navigation problem using DQN.

MIRL — Mutual Information Reinforcement Learning

Discussion on a new regularization mechanism that leverage an optimal prior to explicitly penalize the mutual information between states and f.

SAGAN: Techniques in Self-Attention Generative Adversarial Networks

Discussion on several techniques involved in SAGAN, including self-attention, spectral normalization, conditional batch normalization, etc

MB-MRL — Model-Based Meta-Reinforcement Learning

Discussion on a model-based meta reinforcement learning algorithm that enables the agent to fast adapt to changes of environment.

PEARL — Probabilistic Embedding for Actor-critic RL

Discussion on an off-policy meta reinforcement learning algorithm that achieves state-of-the-art performance and sample efficiency.