rlcode / reinforcement-learningLinks
Minimal and Clean Reinforcement Learning Examples
☆3,612Updated 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.☆2,270Updated 6 years ago
- A list of recent papers regarding deep reinforcement learning☆2,201Updated 9 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆3,037Updated 2 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,570Updated 6 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,152Updated 4 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,315Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,586Updated 7 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,391Updated last year
- Deep Reinforcement Learning for Keras.☆5,558Updated 2 years ago
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,312Updated 5 years ago
- Repo for the Deep Reinforcement Learning Nanodegree program☆5,136Updated 2 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,523Updated last year
- For deep RL and the future of AI.☆1,501Updated last year
- Reinforcement learning resources curated☆9,522Updated 2 years ago
- Assignments for CS294-112.☆1,643Updated 2 years ago
- An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.☆1,200Updated 2 years ago
- Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch☆3,895Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,868Updated 3 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,122Updated 8 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,756Updated 3 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,468Updated 3 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,488Updated last year
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,319Updated 3 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,325Updated this week
- Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow☆862Updated 5 years ago
- TensorFlow Reinforcement Learning☆3,137Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,843Updated last year
- 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)☆4,660Updated last month
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 3 years ago