Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling

Expected Return Causes Outcome-Level Mode Collapse in Reinforcement Learning and How to Fix It with Inverse Probability Scaling explores A novel reinforcement learning approach to prevent mode collapse by adjusting the learning objective for better policy diversity.. Commercial viability score: 2/10 in RL Optimization.