msinto93 / DDPGLinks
Tensorflow implementation of a Deep Deterministic Policy Gradient (DDPG) network, trained on OpenAI Gym environments.
☆23Updated 6 years ago
Alternatives and similar repositories for DDPG
Users that are interested in DDPG are comparing it to the libraries listed below
Sorting:
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆126Updated 5 years ago
- ☆185Updated 3 years ago
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆300Updated last year
- Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019☆708Updated 2 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆324Updated 3 years ago
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆206Updated 4 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆352Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆217Updated 2 years ago
- Structural implementation of RL key algorithms☆514Updated 2 years ago
- Repository for codes of 'Deep Reinforcement Learning'☆218Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 6 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆317Updated 2 years ago
- Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment☆106Updated 6 years ago
- TensorFlow2 Reinforcement Learning☆477Updated 3 years ago
- Colab notebooks part of the documentation of Stable Baselines reinforcement learning library☆235Updated 8 months ago
- ☆423Updated 2 years ago
- Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advanta…☆189Updated last year
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆547Updated 10 months ago
- Repo containing code for multi-agent deep reinforcement learning (MADRL).☆720Updated 2 years ago
- PyTorch implementation of deep reinforcement learning algorithms☆494Updated 3 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆509Updated 2 years ago
- PyTorch implementation of SAC-Discrete.☆311Updated 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
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 2 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆291Updated 4 years ago
- Proximal Policy Optimization implementation with TensorFlow☆106Updated 6 years ago
- This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.☆20Updated 6 years ago
- Mirror of Stable-Baselines: a fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆303Updated 2 years ago
- A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.☆371Updated last year