RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning.
Soumyendu SarkarAshwin Ramesh BabuSajad MousaviSahand GhorbanpourVineet GundechaAntonio GuillenRicardo Luna GutierrezAvisek NaugPublished in: CVPR Workshops (2023)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- model free
- function approximation
- state space
- multi agent
- learning algorithm
- optimal policy
- visual information
- markov decision processes
- partially observable
- complex networks
- visual representations
- visual features
- partially observable domains
- direct policy search
- control problems
- temporal difference
- action selection
- dynamic programming
- learning problems
- optimal control
- multi agent reinforcement learning
- autonomous learning
- rl algorithms
- temporal difference learning
- learning agents
- reinforcement learning methods
- transfer learning
- continuous state
- connectionist networks
- network structure
- visual representation
- learning capabilities
- learning process