rlcode / reinforcement-learningLinks
Minimal and Clean Reinforcement Learning Examples
☆3,615Updated 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
Sorting:
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,273Updated 6 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,159Updated 4 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,039Updated 2 years ago
- A list of recent papers regarding deep reinforcement learning☆2,202Updated 9 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,399Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,311Updated last year
- Deep Reinforcement Learning for Keras.☆5,554Updated 2 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,587Updated 7 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,575Updated 6 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,313Updated 5 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,147Updated 2 years ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,210Updated 2 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- Assignments for CS294-112.☆1,651Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,757Updated 3 years ago
- Reinforcement learning resources curated☆9,564Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,540Updated last year
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,470Updated 3 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,123Updated 8 years ago
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,900Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,872Updated 3 years ago
- For deep RL and the future of AI.☆1,503Updated last year
- TensorFlow Reinforcement Learning☆3,135Updated 3 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,623Updated 6 years ago
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,082Updated 4 years ago
- Paper list of multi-agent reinforcement learning (MARL)☆4,699Updated 2 months ago
- Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.☆847Updated 3 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,661Updated 4 years ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,392Updated last month
- Hands-on Deep Reinforcement Learning, published by Packt☆3,076Updated this week