Towards Offline Reinforcement Learning with Pessimistic Value Priors

Author:

Valdettaro FilippoORCID,Faisal A. AldoORCID

Publisher

Springer Nature Switzerland

Reference39 articles.

1. An, G., Moon, S., Kim, J.-H., Song, H.O.: Uncertainty-based offline reinforcement learning with diversified q-ensemble. In: Advances in Neural Information Processing Systems, vol. 34, pp. 7436–7447 (2021)

2. Bachtiger, P., et al.: Artificial intelligence, data sensors and interconnectivity: future opportunities for heart failure. Card. Fail. Rev. 6 (2020)

3. Brandfonbrener, D., Whitney, W., Ranganath, R., Bruna, J.: Offline RL without off-policy evaluation. In: Advances in Neural Information Processing Systems, vol. 34, pp. 4933–4946 (2021)

4. Burt, D.R., Ober, S.W., Garriga-Alonso, A., van der Wilk, M.: Understanding variational inference in function-space. arXiv preprint: arXiv:2011.09421 (2020)

5. Dasari, S., et al.: RoboNet: Large-scale multi-robot learning. In: Conference on Robot Learning, pp. 885–897. PMLR (2020)

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