msinto93 / DDPG
Tensorflow implementation of a Deep Deterministic Policy Gradient (DDPG) network, trained on OpenAI Gym environments.
☆22Updated 6 years ago
Alternatives and similar repositories for DDPG:
Users that are interested in DDPG are comparing it to the libraries listed below
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- Basic reinforcement learning implementation with tensorflow version 2.0☆52Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆304Updated 3 years ago
- A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing☆134Updated 6 months ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆135Updated 6 years ago
- This repository contains the code to implement the Hierarchical Actor-Critic (HAC) algorithm.☆258Updated 4 years ago
- Implementation of Recurrent Deterministic Policy Gradient.☆36Updated 8 months ago
- PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)☆153Updated 5 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆290Updated last year
- DQN-Atari-Agents: Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow,…☆121Updated 4 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆215Updated last month
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- PyTorch implementation of FQF, IQN and QR-DQN.☆169Updated 6 months ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆286Updated 3 years ago
- Pytorch implementation of intrinsic curiosity module with proximal policy optimization☆52Updated 6 years ago
- Proximal Policy Optimization implementation with TensorFlow☆105Updated 6 years ago
- 🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.☆68Updated 3 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆104Updated 5 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆98Updated 5 years ago
- A framework for easy prototyping of distributed reinforcement learning algorithms☆95Updated 4 years ago
- TF2 Implementation of the Soft Actor-Critic Algorithm☆45Updated 2 years ago
- Lightweight multi-agent gridworld Gym environment☆201Updated last year
- ☆182Updated 3 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆224Updated 4 years ago
- TensorFlow 2.0 for Deep Reinforcement Learning.☆85Updated last year
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Pytorch implementation of distributed deep reinforcement learning☆75Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆296Updated 6 months ago
- TD3, SAC, IQN, Rainbow, PPO, Ape-X and etc. in TF1.x☆62Updated 3 years ago