Statistics for topic deep-reinforcement-learning
RepositoryStats tracks 584,797 Github repositories, of these 363 are tagged with the deep-reinforcement-learning topic. The most common primary language for repositories using this topic is Python (253). Other languages include: Jupyter Notebook (59)
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Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.
A V2G Simulation Environment for large scale EV charging optimization
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
Wolpertinger Training with DDPG (Pytorch), Deep Reinforcement Learning in Large Discrete Action Spaces. Multi-GPU/Singer-GPU/CPU compatible.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation
A benchmarking repo with various solution methods to various machine scheduling problems
OpenAI Gym environment solutions using Deep Reinforcement Learning.
Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
IntersectionZoo: Eco-driving for Benchmarking Multi-Agent Contextual Reinforcement Learning
A V2G Simulation Environment for large scale EV charging optimization
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
[T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
[AAAI 2024] GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
[CoRL 2023] Context-Aware Deep Reinforcement Learning for Autonomous Robotic Navigation in Unknown Area - - Public code and model