Saurabh Kumar

Hierarchical-DQN. Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https://arxiv.org/pdf/1604.06057.pdf

FCRL. Implementation of "Federated Control with Hierarchical Multi-Agent Deep Reinforcement Learning" (https://arxiv.org/pdf/1712.08266.pdf)

state-space-abstraction-hierarchical-rl. Python

SMERL. Python

State-Space-Decomposition. Codebase for RLDM 2017 paper on "State Space Decomposition and Subgoal Creation for Transfer" (https://arxiv.org/abs/1705.08997)

L2_Init. Code accompanying the paper "Maintaining Plasticity in Continual Learning via Regenerative Regularization"