keon / deep-q-learningLinks
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
☆1,308Updated 4 years ago
Alternatives and similar repositories for deep-q-learning
Users that are interested in deep-q-learning are comparing it to the libraries listed below
Sorting:
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,256Updated 6 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,543Updated 6 years ago
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)☆545Updated 5 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,749Updated 2 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,312Updated last year
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 6 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,000Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,449Updated 2 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆610Updated 8 years ago
- Deep Reinforcement Learning for Keras.☆5,554Updated last year
- Using Keras and Deep Deterministic Policy Gradient to play TORCS☆722Updated 7 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,642Updated 3 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,572Updated 2 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,349Updated 2 years ago
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆567Updated 3 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,124Updated 3 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,587Updated 7 years ago
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,181Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,284Updated 5 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,309Updated 2 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,594Updated 5 years ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,176Updated 2 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,079Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,332Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,111Updated 7 years ago
- For deep RL and the future of AI.☆1,476Updated last year
- A list of recent papers regarding deep reinforcement learning☆2,199Updated 9 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆546Updated 10 months ago
- Tensorflow implementation of Deepminds dqn with double dueling networks☆216Updated 5 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,298Updated this week