An Awesome List of Agentic Model trained with Reinforcement Learning
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Updated
Aug 30, 2025
An Awesome List of Agentic Model trained with Reinforcement Learning
DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)
Open source implementation of the PAAC algorithm presented in Efficient Parallel Methods for Deep Reinforcement Learning
A PyTorch Library for Reinforcement Learning Research
Solvers for NP-hard and NP-complete problems with an emphasis on high-performance GPU computing.
Flexible, reusable reinforcement learning (Q learning) implementation in Rust
🍄Reinforcement Learning: Super Mario Bros with dueling dqn🍄
Reinforcement learning models in ViZDoom environment
Gym environments and agents for autonomous driving.
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
Energym is an open source building simulation library designed to test climate control and energy management strategies on buildings in a systematic and reproducible way.
source code for 'Improving automatic source code summarization via deep reinforcement learning'
A course on Deep Reinforcement Learning in Computer Vision. Visit Website:
Autonomous Drone for Object Tracking
Reinforcement Workbench for FreeCAD
one key encryptor android classes.dex and repatch apk
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