Continual Reinforcement Learning in 3D Non-stationary Environments
This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.
Queue-Based Resampling (QBR, ICANN 2018)
Code for the manuscript 'Hierarchy of prediction errors shapes the learning of context-dependent sensory representations'
Repo for course CSC2558: "Intelligent Adaptive Interventions" project in nonstationary contextual bandits.
Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
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