keon / deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
☆1,285Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-q-learning
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,239Updated 5 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,481Updated 5 years ago
- Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)☆532Updated 4 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,419Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,595Updated 6 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,585Updated 2 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,375Updated last year
- Using Keras and Deep Deterministic Policy Gradient to play TORCS☆717Updated 6 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,034Updated 3 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,911Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,230Updated 5 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,297Updated 3 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,693Updated 2 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,173Updated 3 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,054Updated 3 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆391Updated 6 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,332Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,133Updated 2 years ago
- For deep RL and the future of AI.☆1,419Updated 8 months ago
- Deep Reinforcement Learning for Keras.☆5,527Updated last year
- Collection of reinforcement learning algorithms☆2,504Updated 5 months ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,104Updated last year
- Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow☆555Updated 3 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,294Updated 5 months ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,099Updated 7 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,162Updated 2 years ago
- A list of recent papers regarding deep reinforcement learning☆2,179Updated 8 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 5 years ago
- Simple deep Q-learning agent.☆695Updated 5 years ago
- Reinforcement Learning in PyTorch☆2,232Updated 3 years ago