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Raphael Marinier

3 accepted papers

2021

Hyperparameter Selection for Imitation Learning

ICML 2021oral

We address the issue of tuning hyperparameters (HPs) for imitation learning algorithms in the context of continuous-control, when the underlying reward function of the demonstrating expert cannot be observed at any time. The vast literature in imitation learning mostly considers this reward function…

2020

Self-Attentional Credit Assignment for Transfer in Reinforcement Learning

IJCAI 2020poster

The ability to transfer knowledge to novel environments and tasks is a sensible desiderata for general learning agents. Despite the apparent promises, transfer in RL is still an open and little exploited research area. In this paper, we take a brand-new perspective about transfer: we suggest that th…

Cited by 0SourcePDFScholar
2019

Episodic Curiosity through Reachability

ICLR 2019poster

Rewards are sparse in the real world and most of today's reinforcement learning algorithms struggle with such sparsity. One solution to this problem is to allow the agent to create rewards for itself - thus making rewards dense and more suitable for learning. In particular, inspired by curious behav…