Papers I Read Notes and Summaries

Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model

Introduction

  • The paper presents the MuZero algorithm that performs planning with a...


Contrastive Learning of Structured World Models

Introduction

  • The paper introduces Contrastively-trained Structured World Models (C-SWMs).

  • These...


Gossip based Actor-Learner Architectures for Deep RL


How to train your MAML

Introduction

  • The paper proposes MAML++ - a modification of MAML algorithm that...


PHYRE - A New Benchmark for Physical Reasoning

Introduction

  • The paper proposes the PHYRE (PHYsical REasoning) benchmark - consisting of...


Large Memory Layers with Product Keys

Introduction

  • The paper proposes a structured key-value memory layer that:
    • Can scale...

Abductive Commonsense Reasoning

Introduction

  • The paper presents the task of abductive NLP (pronounced as alpha...


Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Introduction

  • The paper proposes a new algorithm called as Probabilistic Ensemble with...


Assessing Generalization in Deep Reinforcement Learning

  • The paper presents a benchmark and experimental protocol (environments, metrics, baselines, training/testing setup)...


Quantifying Generalization in Reinforcement Learning

Introduction

  • The paper introduces a new, procedurally generated environment called as CoinRun...