An open source deep learning library for Unity.
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Updated
May 20, 2024 - C#
An open source deep learning library for Unity.
Various machine learning implementations and tools
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
A PyTorch library for building deep reinforcement learning agents.
This code can be used to reproduce the results in our paper ``Actively Learning Reinforcement Learning: A Stochastic Optimal Control Approach''.
Build and test DRL algorithms in different environments
Goal-conditioned reinforcement learning like 🔥
PyTorch framework for reinforcement learning
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay
Code and Report relating to the Advanced Reinforcement Learning University Unit
Implementations of various RL and Deep RL algorithms in TensorFlow, PyTorch and Keras.
Implementation of deep deterministic policy gradient with Wolpertinger
Version 3.0.0 Pytorch implementations of DQN, DDQN, DDPG, SAC, Discrete SAC. With more features :)
A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.
Designing a control system to exploit model-free deep reinforcement learning algorithms to solve a real-world autonomous driving task of a small robot.
Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
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