GitHub topics: continuous-action-space
cubrink/mujoco-2.1-rl-project
Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator
Language: TeX - Size: 368 MB - Last synced at: 6 days ago - Pushed at: over 3 years ago - Stars: 15 - Forks: 3

sirine-b/DDPG
This repository contains an implementation of Deep Deterministic Policy Gradient (DDPG), a reinforcement learning algorithm designed for environments with continuous action spaces. It features actor-critic architecture, experience replay, and exploration strategies, and is tested on environments like MountainCarContinuous. More info on Medium blog!
Language: Jupyter Notebook - Size: 851 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 1

BY571/D4PG-ray
Distributed PyTorch implementation of D4PG with ray. Using a SOTA IQN Critic instead of C51. Implementation includes also the extensions Munchausen RL and D2RL which can be added to D4PG to improve its performance.
Language: Python - Size: 105 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

BY571/Upside-Down-Reinforcement-Learning
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 75 - Forks: 10

BY571/Deep-Reinforcement-Learning-Algorithm-Collection
Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.
Language: Jupyter Notebook - Size: 25.2 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 68 - Forks: 14

A-Bergonzoli/PPO_implementation_v4.0
PPO algorithm implemetation for TF 2.8.0
Language: Python - Size: 72.3 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

RLOpensource/tensorflow_RL
Language: Python - Size: 14.6 MB - Last synced at: 3 days ago - Pushed at: about 6 years ago - Stars: 57 - Forks: 8

KanishkNavale/DDPG-PER-PEN
The DDPG algorithm incorporates Actor-Critic Deep Learning Agent for solving continuous action reinforcement learning problems.
Language: Python - Size: 20 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 0

callmespring/DJL Fork of HengruiCai/DJL
Implementation of Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings (NeurIPS, 2021) in Python
Language: Python - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

koriavinash1/Brain_Tumor_Localization_using_RL_agent
Deep Reinforcement learning based tumour localisation
Language: Python - Size: 161 KB - Last synced at: 26 days ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 1

ken-power/DRLND_ContinuousControl
Deep Reinforcement Learning: Continuous Control. Solve the Unity ML-Agents Reacher Environment.
Language: Jupyter Notebook - Size: 4.82 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
