Reinforcement Learning Agents in .NET
-
Updated
Jun 12, 2024 - C#
Reinforcement Learning Agents in .NET
Autonomous Driving W/ Deep Reinforcement Learning in 3D environment
Fork of the Mario Kart 64 Gym Environment. Includes training scripts for RL algorithms and Grad-CAM visualization
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
We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.
A Torch Based RL Framework for Rapid Prototyping of Research Papers
Mapless navigation in Coppeliasim
Maximum Entropy Reinforcement Learning via Energy-Based Normalizing Flow
Hint assisted reinforcement learning
Soft Actor-Critic with advanced features
Reinforcement Learning for real-time applications - host of the TrackMania Roborace League
✨ 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.
Evaluating the impact of curriculum learning on the training process for an intelligent agent in a video game
Various machine learning implementations and tools
Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on the CoSES ProHMo Modelica framework, efficiently controls a building's heat pump and thermal storage valve.
RL-Toolkit: A Research Framework for Robotics
A PyTorch library for building deep reinforcement learning agents.
stable-baselines with JAX & Haiku
An improved fork of the original autonomous driving model based on the Soft Actor-Critic algorithm for the CARLA simulator. (https://arxiv.org/abs/2312.16620)
Add a description, image, and links to the soft-actor-critic topic page so that developers can more easily learn about it.
To associate your repository with the soft-actor-critic topic, visit your repo's landing page and select "manage topics."