Redeeming Intrinsic Rewards via Constrained Optimization

Eric Chen, Zhang-Wei Hong, Joni Pajarinen +1

State-of-the-art reinforcement learning (RL) algorithms typically use random sampling (e.g., $\epsilon$-greedy) for exploration, but this method fails on hard exploration tasks like Monte…