lilianweng / deep-reinforcement-learning-gymLinks
Deep reinforcement learning model implementation in Tensorflow + OpenAI gym
☆300Updated 2 years ago
Alternatives and similar repositories for deep-reinforcement-learning-gym
Users that are interested in deep-reinforcement-learning-gym are comparing it to the libraries listed below
Sorting:
- A library for ready-made reinforcement learning agents and reusable components for neat prototyping☆301Updated last year
- Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"☆327Updated 3 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆546Updated 9 months ago
- List of competitions related to Reinforcement Learning☆350Updated last year
- A simple framework for experimenting with Reinforcement Learning in Python.☆318Updated last year
- 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
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆175Updated 2 years ago
- ☆137Updated 7 years ago
- Prioritized Experience Replay (PER) implementation in PyTorch☆347Updated 5 years ago
- ☆303Updated 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…☆188Updated 11 months ago
- Structural implementation of RL key algorithms☆514Updated 2 years ago
- 🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉☆308Updated 2 years ago
- Clone of OpenAI's Spinning Up in PyTorch☆152Updated 3 years ago
- Coding Demos from the School of AI's Move37 Course☆184Updated 6 years ago
- A PyTorch library for building deep reinforcement learning agents.☆649Updated last year
- Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]☆156Updated 4 years ago
- DQN Zoo is a collection of reference implementations of reinforcement learning agents developed at DeepMind based on the Deep Q-Network (…☆475Updated last year
- Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games☆553Updated 2 years ago
- Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)☆251Updated 4 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,180Updated 2 years ago
- Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch☆355Updated 6 years ago
- Keeping track of RL experiments☆163Updated 2 years ago
- A high-performance Atari A3C agent in 180 lines of PyTorch☆171Updated 4 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆508Updated 2 years ago
- Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"☆207Updated 4 years ago
- Pytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)☆226Updated 3 years ago
- My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019☆169Updated 2 years ago
- Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO☆205Updated 2 years ago
- Actor-critic trained w PPO on OpenAI's Procgen Benchmark (PyTorch). Built from scratch.☆101Updated 5 years ago