Contrastive Reinforcement Learning (CRL)
- combines contrastive learning with RL
- used for representation learning
- learns representations that make states leading to high reward look similar, and states leading to low reward look different
- improve reinforcement learning by using contrastive learning to distinguish good outcomes from bad ones, leading to better representations and more efficient learning