Reinforcement learning with prediction-based rewards

1. 1Implement Random Network Distillation (RND) in reinforcement learning models
2. 2Use prediction-based rewards to encourage exploration
3. 3Test RND on complex environments like Montezuma's Revenge
4. 4Compare performance with average human performance

Machine learning researchers and engineers on a team can benefit from this development as it improves reinforcement learning agents' exploration capabilities, leading to better performance in complex environments

💡 Prediction-based rewards can improve reinforcement learning agents' exploration capabilities

🤖 RND exceeds human performance on Montezuma's Revenge!