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Policy Gradient Methods

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

https://github.com/jacarvalho/nopg

공식 코드

A Nonparametric Off-Policy Policy Gradient

https://github.com/jaimesabalimperial/jaisalab

공식 코드

Distributional constrained reinforcement learning for supply chain optimization

https://github.com/jd-anderson/lqr_svrpg

공식 코드

Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach

https://github.com/jerrisonwang/icml-drpg

공식 코드

Policy Gradient in Robust MDPs with Global Convergence Guarantee

https://github.com/kristian-georgiev/sgmrl

공식 코드

On the Convergence Theory of Debiased Model-Agnostic Meta-Reinforcement Learning

https://github.com/lns/dapo

공식 코드

Divergence-Augmented Policy Optimization

https://github.com/mangopy/direct-rag-learning

공식 코드

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models

https://github.com/manish-pra/copg

공식 코드

Competitive Policy Optimization

https://github.com/matsuolab/rcmdp-epigraph

공식 코드

Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form

https://github.com/ml-jku/reactive-exploration

공식 코드

Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning

https://github.com/nathanlct/iig-rl-benchmark

공식 코드

Reevaluating Policy Gradient Methods for Imperfect-Information Games

https://github.com/neelayjunnarkar/stabilizing-ren

공식 코드

Synthesis of Stabilizing Recurrent Equilibrium Network Controllers

https://github.com/neurips-2019/GAC

공식 코드

Distributional Policy Optimization: An Alternative Approach for Continuous Control

https://github.com/nycu-rl-bandits-lab/apg

공식 코드

Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning

https://github.com/ozekri/SEPO

공식 코드

Fine-Tuning Discrete Diffusion Models with Policy Gradient Methods

https://github.com/pfnet-research/capg

공식 코드

Clipped Action Policy Gradient

https://github.com/qlan3/Explorer

공식 코드

Model-free Policy Learning with Reward Gradients

https://github.com/raincchio/p3o

공식 코드

The Sufficiency of Off-Policyness and Soft Clipping: PPO is still Insufficient according to an Off-Policy Measure

https://github.com/rallen10/ergo_particle_gym

공식 코드

Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning

https://github.com/romina72/paml

공식 코드

Policy-Aware Model Learning for Policy Gradient Methods

https://github.com/ruizhaogit/GuessWhat-TemperedPolicyGradient

공식 코드

Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient

https://github.com/sahandrez/homomorphic_policy_gradient

공식 코드

Continuous MDP Homomorphisms and Homomorphic Policy Gradient

https://github.com/sahandrez/rotate_suite

공식 코드

Policy Gradient Methods in the Presence of Symmetries and State Abstractions

https://github.com/sail-sg/edp

공식 코드

Efficient Diffusion Policies for Offline Reinforcement Learning

https://github.com/samuelfneumann/greedyac

공식 코드

Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement

https://github.com/sergiorozada12/matrix-low-rank-pg

공식 코드

Matrix Low-Rank Approximation For Policy Gradient Methods

https://github.com/sergiorozada12/tensor-low-rank-pg

공식 코드

Multilinear Tensor Low-Rank Approximation for Policy-Gradient Methods in Reinforcement Learning

https://github.com/shaneshixiang/rllabplusplus

공식 코드

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

https://github.com/shiehshieh/fedpohcs

공식 코드

Client Selection for Federated Policy Optimization with Environment Heterogeneity

https://github.com/sincrogroup/hierarchical-policy-gradient-rl-for-multi-agent-shepherding-control-of-non-cohesive-targets

공식 코드

Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets

https://github.com/skandavaidyanath/credit-assignment

공식 코드

Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning

https://github.com/snakeztc/NeuralDialog-LaRL

공식 코드

Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models

https://github.com/svmgrg/fma-pg

공식 코드

A general class of surrogate functions for stable and efficient reinforcement learning

https://github.com/tedmoskovitz/WNPG

공식 코드

Efficient Wasserstein Natural Gradients for Reinforcement Learning

https://github.com/tesslerc/GAC

공식 코드

Distributional Policy Optimization: An Alternative Approach for Continuous Control

https://github.com/thaihungle/EPGT

공식 코드

Episodic Policy Gradient Training

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