TheoLvs/causal-reinforcement-learning

Experiments on Causality & Reinforcement Learning

Causal Reinforcement Learning

Experiments on Causality & Reinforcement Learning

References

About causality

• Of course the unbelievable Book of Why by Judea Pearl and his recent Lex Friedman podcast
• Want to make good business decisions? Learn causality by Stitchfix
• Causality in the Quantum World

Papers

• Learning Neural Causal Models from Unknown Interventions and github
• Measuring Arithmetic Extrapolation Performance
• Multiplicative interactions and where to find them
• Neural Network Attributions: A Causal Perspective

About learning

• "How to know" talk by Celeste Kidd at NeurIPS

Neurosymbolism

• Next-generation architectures bridge gap between neural and symbolic representations with neural symbols by Microsoft Research
• Neuro-symbolic AI is the future of AI
• Yoshua Bengio & Gary Marcus debate
• Summary here if you don't have the time
• Follow-up by Gary Marcus
• Gary Marcus podcast: toward a hybrid of Deep Learning and Symbolic AI

Graph Neural Networks

• A gentle introduction to Graph Neural Networks

Neural Structured Learning

• Tensorflow NSL

Geometric Deep Learning

• PyTorch Geometric

Libraries

• EconML by MSFT
• DoWhy by MSFT
• CausalNex by QuantumBlack
• CausalML by Uber