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3D Face Modelling

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MouseHu/GEM

공식 코드

Generalizable Episodic Memory for Deep Reinforcement Learning

https://github.com/NYCU-RL-Bandits-Lab/Q-Pensieve

공식 코드

Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots

https://github.com/Octavio-Pappalardo/Meta-learning-rewards

공식 코드

Black box meta-learning intrinsic rewards for sparse-reward environments

https://github.com/Owen-Oertell/rlcm

공식 코드

REBEL: Reinforcement Learning via Regressing Relative Rewards

https://github.com/PaoloP84/EfficacyModernES

공식 코드

Efficacy of Modern Neuro-Evolutionary Strategies for Continuous Control Optimization

https://github.com/ParthaEth/GIF

공식 코드

GIF: Generative Interpretable Faces

https://github.com/QData/dmc_remastered

공식 코드

Measuring Visual Generalization in Continuous Control from Pixels

https://github.com/RizanSM/zero_shot_llms_in_HIL_RL

공식 코드

Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping

https://github.com/RockySJ/ampo

공식 코드

Model-based Policy Optimization with Unsupervised Model Adaptation

https://github.com/SaminYeasar/Off_Policy_Adversarial_Inverse_Reinforcement_Learning

공식 코드

Off-Policy Adversarial Inverse Reinforcement Learning

https://github.com/SaminYeasar/sparse_reg

공식 코드

Sparse-Reg: Improving Sample Complexity in Offline Reinforcement Learning using Sparsity

https://github.com/ShangtongZhang/DeepRL

공식 코드

ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

https://github.com/ShawK91/erl_paper_nips18

공식 코드

Evolution-Guided Policy Gradient in Reinforcement Learning

https://github.com/SilviaSapora/evil

공식 코드

EvIL: Evolution Strategies for Generalisable Imitation Learning

https://github.com/SingerGao/ECAC

공식 코드

Error Controlled Actor-Critic

https://github.com/StanfordASL/BaRC

공식 코드

BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning

https://github.com/StanfordASL/SNDL

공식 코드

Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization

https://github.com/T3p/pois

공식 코드

Policy Optimization via Importance Sampling

https://github.com/TakaOsa/adInfoHRL

공식 코드

Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization

https://github.com/TianhongDai/esil-hindsight

공식 코드

Episodic Self-Imitation Learning with Hindsight

https://github.com/TimoBolkart/GlobalLocalFaceModels

공식 코드

Review of Statistical Shape Spaces for 3D Data with Comparative Analysis for Human Faces

https://github.com/TimoBolkart/MultilinearWaveletModel

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Multilinear Wavelets: A Statistical Shape Space for Human Faces

https://github.com/UCLA-StarAI/Analogous-Disentangled-Actor-Critic

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Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration

https://github.com/Unity-Technologies/marathon-envs

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Marathon Environments: Multi-Agent Continuous Control Benchmarks in a Modern Video Game Engine

https://github.com/UoA-CARES/cares_reinforcement_learning/blob/main/cares_reinforcement_learning/algorithm/policy/CTD4.py

공식 코드

CTD4 -- A Deep Continuous Distributional Actor-Critic Agent with a Kalman Fusion of Multiple Critics

https://github.com/WendyShang/dqn_zoo

공식 코드

Reinforcement Learning with Latent Flow

https://github.com/WendyShang/flare

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Reinforcement Learning with Latent Flow

https://github.com/XuGW-Kevin/DrM

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DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization

https://github.com/YadiraF/DECA

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Learning an Animatable Detailed 3D Face Model from In-The-Wild Images

https://github.com/YaoYao1995/MEEE

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Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation

https://github.com/Yusufma03/CVRL

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Contrastive Variational Reinforcement Learning for Complex Observations

https://github.com/ZhengyaoJiang/latentplan

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Efficient Planning in a Compact Latent Action Space

https://github.com/ZikangXiong/rl-detect-and-denoise-defense

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Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising

https://github.com/aashishrai3799/3DFaceCAM

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Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance

https://github.com/adaptive-intelligent-robotics/DCRL-MAP-Elites

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Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning

https://github.com/adaptive-intelligent-robotics/qdac

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Quality-Diversity Actor-Critic: Learning High-Performing and Diverse Behaviors via Value and Successor Features Critics

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