rll / rllabLinks
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
☆3,027Updated 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☆3,313Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,354Updated 2 years ago
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,262Updated 6 years ago
- A toolkit for reproducible reinforcement learning research.☆2,049Updated 2 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,465Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,379Updated last year
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,613Updated 6 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,568Updated 6 years ago
- A list of recent papers regarding deep reinforcement learning☆2,201Updated 9 years ago
- Assignments for CS294-112.☆1,637Updated 2 years ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,659Updated 3 years ago
- Minimal and Clean Reinforcement Learning Examples☆3,602Updated 2 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,749Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,315Updated 3 years ago
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,588Updated 7 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,121Updated 8 years ago
- Collection of reinforcement learning algorithms☆2,818Updated last year
- Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL☆3,142Updated 4 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,853Updated 3 years ago
- Reinforcement Learning in PyTorch☆2,269Updated 4 years ago
- Lua/Torch implementation of DQN (Nature, 2015)☆619Updated 8 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,163Updated 2 years ago
- PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".☆1,301Updated 6 years ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆3,090Updated last year
- Minimal Deep Q Learning (DQN & DDQN) implementations in Keras☆1,311Updated 4 years ago
- Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillio…☆3,499Updated last year
- Deep Reinforcement Learning for Keras.☆5,555Updated 2 years ago
- For deep RL and the future of AI.☆1,489Updated last year
- ChainerRL is a deep reinforcement learning library built on top of Chainer.☆1,198Updated 4 years ago
- Implementation of TRPO and related algorithms☆641Updated 7 years ago