MR.Q is a general-purpose model-free reinforcement learning algorithm.

Author's PyTorch implementation of LAP and PAL with TD3 and DDQN

Learning the Sweet-spot Distribution Range

Repo for the paper "GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects"

Author's PyTorch implementation of BCQ for continuous and discrete actions

Author's PyTorch implementation of TD3 for OpenAI gym tasks

Repository for code to reproduce the paper Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation

A repository for the paper "Improved Adversarial Systems for 3D Object Generation and Reconstruction".