Adaptive Rational Activations to Boost Deep Reinforcement Learning

18 February 2021

Papers citing "Adaptive Rational Activations to Boost Deep Reinforcement Learning"

6 / 6 papers shown

Title
BlendRL: A Framework for Merging Symbolic and Neural Policy Learning Hikaru Shindo Quentin Delfosse D. Dhami Kristian Kersting 33 3 0 15 Oct 2024
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion Achref Jaziri Etienne Kunzel Visvanathan Ramesh CLL 35 0 0 19 Aug 2024
Boosting Object Representation Learning via Motion and Object Continuity Quentin Delfosse Wolfgang Stammer Thomas Rothenbacher Dwarak Vittal Kristian Kersting OCL 16 20 0 16 Nov 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 83 178 0 16 May 2022
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 194 255 0 13 Apr 2016