Search Results for author: Pierre Richemond

Found 3 papers, 3 papers with code

Memory-Efficient Episodic Control Reinforcement Learning with Dynamic Online k-means

1 code implementation21 Nov 2019 Andrea Agostinelli, Kai Arulkumaran, Marta Sarrico, Pierre Richemond, Anil Anthony Bharath

Recently, neuro-inspired episodic control (EC) methods have been developed to overcome the data-inefficiency of standard deep reinforcement learning approaches.

Atari Games Online Clustering +1

Sample-Efficient Reinforcement Learning with Maximum Entropy Mellowmax Episodic Control

1 code implementation21 Nov 2019 Marta Sarrico, Kai Arulkumaran, Andrea Agostinelli, Pierre Richemond, Anil Anthony Bharath

Deep networks have enabled reinforcement learning to scale to more complex and challenging domains, but these methods typically require large quantities of training data.

Atari Games reinforcement-learning

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