rll / rllabLinks
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
☆2,988Updated 2 years ago
Alternatives and similar repositories for rllab
Users that are interested in rllab are comparing it to the libraries listed below
Sorting:
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,315Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,350Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,254Updated 6 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,747Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,322Updated last year
- A list of recent papers regarding deep reinforcement learning☆2,198Updated 9 years ago
- Assignments for CS294-112.☆1,604Updated 2 years ago
- A toolkit for reproducible reinforcement learning research.☆2,003Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,445Updated 2 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,587Updated 7 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,593Updated 5 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,808Updated 3 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,541Updated 6 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,156Updated 2 years ago
- Collection of reinforcement learning algorithms☆2,732Updated last year
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,637Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,266Updated 4 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,561Updated 2 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,112Updated 7 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,297Updated 2 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,040Updated last year
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,282Updated 5 years ago
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,119Updated 3 years ago
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,197Updated 3 years ago
- For deep RL and the future of AI.☆1,475Updated last year
- Lua/Torch implementation of DQN (Nature, 2015)☆609Updated 8 years ago
- Deep Reinforcement Learning for Keras.☆5,556Updated last year
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,291Updated 5 months ago
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,310Updated 2 weeks ago
- TensorFlow Reinforcement Learning☆3,133Updated 2 years ago