Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-my-interests
A curated list of my interested resources.
https://github.com/Cjh327/awesome-my-interests
Last synced: 1 day ago
JSON representation
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Game AI <a name="gameai"></a>
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Industrial works
- DeepMind AlphaStar
- DeepMind AlphaStar
- OpenAI Five
- Tencent Juewu
- Learning Diverse Policies in MOBA Games via Macro-Goals
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- OpenAI Five
- Learning Diverse Policies in MOBA Games via Macro-Goals
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
- DeepMind AlphaStar
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Others
- Game AI Pro - Game AI Pro book series.
- GDC Vault - A trove of in-depth design, technical and inspirational talks and slides from the influencers of the game development industry, taken from over 20 years of the worldwide Game Developers Conferences.
- AI in Games: Techniques, Challenges and Opportunities
- Rethinking of AlphaStar
- awesome-game-ai - An awesome library.
- AI in Games: Techniques, Challenges and Opportunities
- Rethinking of AlphaStar
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Reinforcement Learning <a name="reinforcementlearning"></a>
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Learning Transferable Policies and Representations with Transformer
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Decision Transformer <a name="decisiontransformer"></a>
- Decision Transformer: Reinforcement Learning via Sequence Modeling
- Offline Reinforcement Learning as One Big Sequence Modeling Problem
- A Generalist Agent
- Multi-Game Decision Transformers
- Action-Conditioned Contrastive Policy Pretraining
- Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks
- Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
- Generalized Decision Transformer for Offline Hindsight Information Matching
- Prompting Decision Transformer for Few-Shot Policy Generalization
- Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning
- RvS: What is Essential for Offline RL via Supervised Learning?
- GPT,GPT-2,GPT-3 论文精读
- You Can’t Count on Luck: Why Decision Transformers Fail in Stochastic Environments
- You Can’t Count on Luck: Why Decision Transformers Fail in Stochastic Environments
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Big Models for RL <a name="bigmodelsrl"></a>
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
- Learning to Play Minecraft with Video PreTraining (VPT)
- Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
- LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
- A Dataset Perspective on Offline Reinforcement Learning
- Learning to Play Minecraft with Video PreTraining (VPT)
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Offline RL with Online Finetuning
- Acceleratingonline reinforcement learning with offline datasets
- Offline Reinforcement Learning with Implicit Q-Learning
- Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble
- AW-Opt: Learning Robotic Skills with Imitation and Reinforcement at Scale
- Online Decision Transformer
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Real-World RL <a name="realworldrl"></a>
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Autonomous Driving <a name="autonomousdriving"></a>
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Environments
- Bomberland - agent AI competition inspired by Bomberman.
- DIAMBRA Arena
- Honor of Kings Game Environment
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Empirical study
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Human-Centered AI <a name="hcai"></a>
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Others
- Awesome Human-Centered AI (HCAI) - An awesome library.
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Programming Languages
Categories
Sub Categories
Industrial works
48
Decision Transformer <a name="decisiontransformer"></a>
14
Others
8
Big Models for RL <a name="bigmodelsrl"></a>
6
Offline RL with Online Finetuning
5
Real-World RL <a name="realworldrl"></a>
4
Learning Transferable Policies and Representations with Transformer
4
Empirical study
4
Environments
3
Autonomous Driving <a name="autonomousdriving"></a>
2