chainer / chainerrl
ChainerRL is a deep reinforcement learning library built on top of Chainer.
☆1,188Updated 3 years ago
Alternatives and similar repositories for chainerrl:
Users that are interested in chainerrl are comparing it to the libraries listed below
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,173Updated 2 years ago
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,961Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,624Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,250Updated 4 years ago
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,346Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,430Updated 2 years ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,279Updated 2 months ago
- A Platform for Many-Agent Reinforcement Learning☆1,727Updated 2 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆656Updated 5 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆967Updated 6 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆710Updated 6 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,267Updated 5 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,003Updated 6 years ago
- PFRL: a PyTorch-based deep reinforcement learning library☆1,226Updated 9 months ago
- A list of papers and resources dedicated to deep reinforcement learning☆834Updated 8 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,109Updated 7 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,294Updated last year
- Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch☆1,070Updated 3 years ago
- Collection of reinforcement learning algorithms☆2,667Updated 10 months ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Updated 9 months ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,257Updated 2 years ago
- Accompanying repository for Let's make a DQN / A3C series.☆394Updated 6 years ago
- PyTorch Agent Net: reinforcement learning toolkit for pytorch☆543Updated 6 months ago
- Deep Reinforcement Learning with pytorch & visdom☆798Updated 4 years ago
- A3C LSTM Atari with Pytorch plus A3G design☆564Updated 2 years ago
- This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Duel…☆678Updated 4 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,300Updated last year
- Code for the paper "Exploration by Random Network Distillation"☆894Updated 4 years ago
- PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Lear…☆1,197Updated 4 years ago
- Implementation of TRPO and related algorithms☆629Updated 6 years ago