rlcode / reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
☆3,505Updated 2 years ago
Alternatives and similar repositories for reinforcement-learning:
Users that are interested in reinforcement-learning are comparing it to the libraries listed below
- A list of recent papers regarding deep reinforcement learning☆2,190Updated 8 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,030Updated last year
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,251Updated 6 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,960Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,589Updated 6 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,344Updated 2 years ago
- Deep Reinforcement Learning for Keras.☆5,545Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,088Updated 3 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,289Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Updated 8 months ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,298Updated 4 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,525Updated 5 years ago
- Reinforcement learning resources curated☆9,055Updated last year
- Assignments for CS294-112.☆1,589Updated 2 years ago
- TensorFlow Reinforcement Learning☆3,138Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,428Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,252Updated 2 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,585Updated 5 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆13,994Updated 8 months ago
- For deep RL and the future of AI.☆1,457Updated last year
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,108Updated 7 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,343Updated 10 months ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,142Updated last year
- A Platform for Many-Agent Reinforcement Learning☆1,720Updated 2 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,158Updated last year
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Hands-on Deep Reinforcement Learning, published by Packt☆2,939Updated 2 years ago
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,845Updated last year
- PyTorch implementations of deep reinforcement learning algorithms and environments☆5,777Updated 8 months ago
- Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning☆4,311Updated 4 years ago