Search Results for author: Christelle Yemdji-Tchassi

Found 2 papers, 0 papers with code

Safer Autonomous Driving in a Stochastic, Partially-Observable Environment by Hierarchical Contingency Planning

no code implementations13 Apr 2022 Ugo Lecerf, Christelle Yemdji-Tchassi, Pietro Michiardi

When learning to act in a stochastic, partially observable environment, an intelligent agent should be prepared to anticipate a change in its belief of the environment state, and be capable of adapting its actions on-the-fly to changing conditions.

Autonomous Driving Autonomous Navigation

Automatically Learning Fallback Strategies with Model-Free Reinforcement Learning in Safety-Critical Driving Scenarios

no code implementations11 Apr 2022 Ugo Lecerf, Christelle Yemdji-Tchassi, Sébastien Aubert, Pietro Michiardi

When learning to behave in a stochastic environment where safety is critical, such as driving a vehicle in traffic, it is natural for human drivers to plan fallback strategies as a backup to use if ever there is an unexpected change in the environment.

Autonomous Driving Reinforcement Learning (RL)

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