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Awesome Deep Reinforcement Learning

Mar 1 2024 update: HILP added

July 2022 update: EDDICT added

Mar 2022 update: a few papers released in early 2022

Dec 2021 update: Unsupervised RL

Introduction to awesome drl

Reinforcement learning is the fundamental framework for building AGI. Therefore we share important contributions within this awesome drl project.

Landscape of Deep RL

updated Landscape of DRL

Content

Illustrations:

Recommendations and suggestions are welcome.

General guidances

2024

2022

Generalist policies

Foundations and theory

General benchmark frameworks

Unsupervised

Offline

Value based

Policy gradient

Explorations

Actor-Critic

Model-based

Model-free + Model-based

Hierarchical

Option

Connection with other methods

Connecting value and policy methods

Reward design

Unifying

Faster DRL

Multi-agent

New design

Multitask

Observational Learning

Meta Learning

Distributional

Planning

Safety

Inverse RL

No reward RL

Time

Adversarial learning

Use Natural Language

Generative and contrastive representation learning

Belief

PAC

Applications