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Reinforcement Learning

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코드

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

https://github.com/acoache/rl-dynamicconvexrisk

공식 코드

Reinforcement Learning with Dynamic Convex Risk Measures

https://github.com/acoache/rl-elicitabledynamicrisk

공식 코드

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

https://github.com/act3-ace/corl

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CoRL: Environment Creation and Management Focused on System Integration

https://github.com/ada-research/combined_hpo_and_reward_shaping

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Combining Automated Optimisation of Hyperparameters and Reward Shape

https://github.com/adamjelley/efficientofflinerl

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Efficient Offline Reinforcement Learning: The Critic is Critical

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/dcg-map-elites

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MAP-Elites with Descriptor-Conditioned Gradients and Archive Distillation into a Single Policy

https://github.com/adaptive-intelligent-robotics/pga-map-elites

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Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

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

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

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Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning

https://github.com/ademiadeniji/irm

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Skill-Based Reinforcement Learning with Intrinsic Reward Matching

https://github.com/ademiadeniji/lamp

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Language Reward Modulation for Pretraining Reinforcement Learning

https://github.com/adi3e08/physics_informed_model_based_rl

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Physics-Informed Model-Based Reinforcement Learning

https://github.com/adibka/RIZE

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RIZE: Regularized Imitation Learning via Distributional Reinforcement Learning

https://github.com/adinlab/MOMBO

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Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning

https://github.com/adipandas/gym_multirotor

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Robust Deep Reinforcement Learning for Quadcopter Control

https://github.com/adishs/icml2020_rl-policy-teaching_code

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Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning

https://github.com/adishs/neurips2021_explicable-reward-design_code

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Reward Design for Reinforcement Learning Agents

https://github.com/aditya-ramesh-10/chunktd

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Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

https://github.com/adityab/crossq

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CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity

https://github.com/adityavavre/videgovlm

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EgoVLM: Policy Optimization for Egocentric Video Understanding

https://github.com/adrienBolland/future-visitation-exploration

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Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures

https://github.com/adrienbolland/jointly-learning-environments-and-control-policies-with-projected-stochastic-gradient-ascent

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Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent

https://github.com/adwardlee/multitask-end-to-end-video-captioning

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End-to-End Video Captioning with Multitask Reinforcement Learning

https://github.com/aegis1863/cea

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Counterfactual experience augmented off-policy reinforcement learning

https://github.com/aehrc/cxrmate

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Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation

https://github.com/agakshat/spacefortress

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Learning Time-Sensitive Strategies in Space Fortress

https://github.com/agi-brain/cee

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Reducing Action Space for Deep Reinforcement Learning via Causal Effect Estimation

https://github.com/agi-brain/xuance

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XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

https://github.com/agi-labs/continual_rl

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CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

https://github.com/ago109/active-neural-generative-coding

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Backprop-Free Reinforcement Learning with Active Neural Generative Coding

https://github.com/aguilarjose11/pbrlneurips

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RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning

https://github.com/ahmadnagib/SARL-RRM

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Toward Safe and Accelerated Deep Reinforcement Learning for Next-Generation Wireless Networks

https://github.com/ahmadnagib/tl-aided-drl

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Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach

https://github.com/ahmd-mohsin/Spectrum-Sharing-Hierarchical-DRL

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Hierarchical Deep Reinforcement Learning for Adaptive Resource Management in Integrated Terrestrial and Non-Terrestrial Networks

https://github.com/ahmedhajyahmed/drdrl

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An Intentional Forgetting-Driven Self-Healing Method For Deep Reinforcement Learning Systems

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