This contains my notes for research papers that I've read.
- R3M: Reusable Representations for Robotic Manipulation
- Momentum Contrast for Unsupervised Visual Representation Learning
- ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning
- Reinforcement Learning with Prototypical Representations
- Decoupling Representation Learning from Reinforcement Learning
- Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning
- Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
- Reinforcement Learning with Augmented Data
- CURL: Contrastive Unsupervised Representations for Reinforcement Learning
- Self-Supervised Policy Adaptation during Deployment
- Curiosity-driven Exploration by Self-supervised Prediction
- Learning to Learn How to Learn: Self-Adaptive Visual Navigation using Meta-Learning
- Visual Semantic Navigation using Scene Priors
- Hierarchical Object-to-Zone Graph for Object Navigation
- Hindsight Experience Replay
- Object Goal Navigation using Goal-Oriented Semantic Exploration
- GCExp: Goal-Conditioned Exploration for Object Goal Navigation