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3D Face Modelling

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

https://github.com/uoe-agents/cmid

공식 코드

Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

https://github.com/vincentzhang/decentcem

공식 코드

A Simple Decentralized Cross-Entropy Method

https://github.com/vinczematyas/SMoSE

공식 코드

SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks

https://github.com/vmartinezalvarez/DyNODE

공식 코드

DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control

https://github.com/voot-t/guide-actor-critic

공식 코드

Guide Actor-Critic for Continuous Control

https://github.com/vroulet/ilqc

공식 코드

Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates

https://github.com/vsamuel2003/cie

공식 코드

CIE: Controlling Language Model Text Generations Using Continuous Signals

https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/rpo_continuous_action.py

공식 코드

Robust Policy Optimization in Deep Reinforcement Learning

https://github.com/wadx2019/qvpo

공식 코드

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

https://github.com/wadx2019/rpo

공식 코드

Reduced Policy Optimization for Continuous Control with Hard Constraints

https://github.com/wangbx66/Action-Subspace-Dependent

공식 코드

Policy Optimization with Second-Order Advantage Information

https://github.com/wertyuilife2/bmpc

공식 코드

Bootstrapped Model Predictive Control

https://github.com/wq13552463699/clustering-for-offline-rl-il

공식 코드

Dataset Clustering for Improved Offline Policy Learning

https://github.com/xavierchanglingli/regularized-optimal-experience-replay

공식 코드

ROER: Regularized Optimal Experience Replay

https://github.com/xbpeng/mcp

공식 코드

MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies

https://github.com/xuanlinli17/iclr2021_rlreg

공식 코드

Regularization Matters in Policy Optimization

https://github.com/xuanlinli17/po-rl-regularization

공식 코드

Regularization Matters in Policy Optimization

https://github.com/xujinming01/td3aq

공식 코드

Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Electric Vehicle Energy Management

https://github.com/xupei0610/PFPN

공식 코드

PFPN: Continuous Control of Physically Simulated Characters using Particle Filtering Policy Network

https://github.com/yannickycpan/reproducerl

공식 코드

Understanding and Mitigating the Limitations of Prioritized Experience Replay

https://github.com/yeshenpy/erl-re2

공식 코드

ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

https://github.com/yingchengyang/BIRIS

공식 코드

On the Reuse Bias in Off-Policy Reinforcement Learning

https://github.com/yingchengyang/CPPO

공식 코드

Towards Safe Reinforcement Learning via Constraining Conditional Value-at-Risk

https://github.com/yingfan-bot/mbpsrl

공식 코드

Model-based Reinforcement Learning for Continuous Control with Posterior Sampling

https://github.com/yjhuangcd/fi-ode

공식 코드

FI-ODE: Certifiably Robust Forward Invariance in Neural ODEs

https://github.com/yobibyte/amorpheus

공식 코드

My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control

https://github.com/zdhnarsil/stochastic-marginal-actor-critic

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Latent State Marginalization as a Low-cost Approach for Improving Exploration

https://github.com/zhangxz1123/FilteredPolicyGradient

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Robust Policy Gradient against Strong Data Corruption

https://github.com/zhaolingao/rebel

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REBEL: Reinforcement Learning via Regressing Relative Rewards

https://github.com/zhihanyang2022/off-policy-continuous-control

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Recurrent Off-policy Baselines for Memory-based Continuous Control

https://github.com/zhixuan-lin/ensemble-rl-continuous

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The Curse of Diversity in Ensemble-Based Exploration

https://github.com/zhixuan-lin/ensemble-rl-discrete

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The Curse of Diversity in Ensemble-Based Exploration

https://github.com/zhu-edward/dgsqp

공식 코드

A Sequential Quadratic Programming Approach to the Solution of Open-Loop Generalized Nash Equilibria

https://github.com/zhuyuanyang/udprl

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Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning

https://github.com/ziqian2000/smiling

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Diffusing States and Matching Scores: A New Framework for Imitation Learning

https://github.com/zjlab-ammi/hs-omrl

공식 코드

On Context Distribution Shift in Task Representation Learning for Offline Meta RL

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