repo for learning reinforcement learning from scratch
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Updated
May 25, 2024 - Python
repo for learning reinforcement learning from scratch
Massively Parallel Deep Reinforcement Learning. 🔥
testing MLP, DQN, PPO, SAC, policy-gradient by snake
Python library for Reinforcement Learning.
An elegant PyTorch deep reinforcement learning library.
Deep reinforcement learning for smart calibration of radio telescopes. Automatic hyper-parameter tuning.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
深度强化学习路径规划, SAC-Auto路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真模拟,Adaptive-SAC
Soft Actor-Critic with advanced features
pytorch implementation of SAC, TD3 and TD7 with Mujoco Benchmark results from 4 seeds.
Preprocessing seismic data: download, format changing, and archiving
Pytorch implementation of various distributed reinforcement learning algorithms
PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.
✨ Solve multi_dimensional multiple knapsack problem using state_of_the_art Reinforcement Learning Algorithms and transformers
Explainability of Deep RL algorithms using graph networks and layer-wise relevance propagation.
Reinforcement Learning Agents in .NET
RLOP: A Framework for Reinforcement Learning, Optimization and Planning Algorithms
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