Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning

1 code implementation • 1 Jan 2020 • Simone Parisi, Davide Tateo, Maximilian Hensel, Carlo D'Eramo, Jan Peters, Joni Pajarinen

Empirical results on classic and novel benchmarks show that the proposed approach outperforms existing methods in environments with sparse rewards, especially in the presence of rewards that create suboptimal modes of the objective function.

Benchmarking reinforcement-learning +1