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awesome-deep-rl

For deep RL and the future of AI.
https://github.com/tigerneil/awesome-deep-rl

Last synced: 3 days ago
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General guidances
2022
- arxiv
General benchmark frameworks
- MuJoCo - zh)
- Dataset for Offline RL
- StarCraft II
- tfrl
Unsupervised
No reward RL
- Curiosity-driven Exploration by Self-supervised Prediction
- Curiosity-driven Exploration by Self-supervised Prediction
Offline
- PerSim: Data-efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
Value based
Actor-Critic
- Soft Actor-Critic Algorithms and Applications
- Soft Actor-Critic Algorithms and Applications
Model-based
- Model Based Reinforcement Learning for Atari
- Model Based Reinforcement Learning for Atari
Multi-agent
- QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
New design
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
Multitask
- Kickstarting Deep Reinforcement Learning
- Kickstarting Deep Reinforcement Learning

Categories

Unsupervised 8 General guidances 7 General benchmark frameworks 6 Value based 4 Multitask 2 Model-based 2 New design 2 No reward RL 2 Actor-Critic 2 2022 1 Offline 1 Multi-agent 1

Sub Categories

Keywords

research 1 reinforcement-learning 1 offline-rl 1 off-policy-evaluation 1 awesome-list 1 awesome 1