Papers with Code 아카이브
General Reinforcement Learning
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 2
- 평가표
- 6
- 보존된 평가 기록
- 12
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Xingyu-Lin/mbpo_pytorch
https://github.com/XueyingBai/Model-Based-Reinforcement-Learning-for-Online-Recommendation
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
https://github.com/Yihao-Sun/pytorch-mopo
https://github.com/Zeta36/chess-alpha-zero
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/ZhengXinyue/fuck_papers
Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning
https://github.com/adamjelley/efficientofflinerl
Revisiting the Minimalist Approach to Offline Reinforcement Learning
https://github.com/adrialopezescoriza/demo3
TD-MPC2: Scalable, Robust World Models for Continuous Control
https://github.com/aduerig/burrus
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/ai4ai-lab/factored-action-spaces-for-ope
Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare
https://github.com/aicenter/openspiel_reproductions
https://github.com/alextrudeau/go_exploit
https://github.com/alreadydone/Leela_Phoenix
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/amaar-quadri/PerfectInformationGame
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/amaarquadri/PerfectInformationGame
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/amjshl/compute_efficient_alphazero
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/anagabandi/nn_dynamics
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
https://github.com/anair13/bullet-manipulation-affordances
Offline Meta-Reinforcement Learning with Online Self-Supervision
https://github.com/angelolovatto/raylab
https://github.com/anuragajay/d4rl
https://github.com/anyboby/ConstrainedMBPO
https://github.com/aravind0706/neural-mpc
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
https://github.com/aravindsrinivas/neural-mpc
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
https://github.com/argmax-ai/drone-hardware
https://github.com/bainro/mcai
DeepAveragers: Offline Reinforcement Learning by Solving Derived Non-Parametric MDPs
https://github.com/bastienvanderplaetse/action-branching-dqn
Action Branching Architectures for Deep Reinforcement Learning
https://github.com/braincog-x/brain-cog
Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning
https://github.com/buoyancy99/diffusion-forcing
https://github.com/buseskorkmaz/fms-at-work
Offline RL for Natural Language Generation with Implicit Language Q Learning
https://github.com/cannylab/casual_overhypotheses
Decision Transformer: Reinforcement Learning via Sequence Modeling
https://github.com/charleshsc/HarmoDT
Q-value Regularized Transformer for Offline Reinforcement Learning
https://github.com/charleshsc/qt
Q-value Regularized Transformer for Offline Reinforcement Learning
https://github.com/chinganc/lightatac
Adversarially Trained Actor Critic for Offline Reinforcement Learning
https://github.com/cjohnchen/changebale
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/cjohnchen/mirror
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
https://github.com/cjohnchen/sai
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.