rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
☆3,050Jun 10, 2023Updated 2 years ago
Alternatives and similar repositories for rllab
Users that are interested in rllab are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of TRPO and related algorithms☆648May 20, 2018Updated 7 years ago
- A toolkit for reproducible reinforcement learning research.☆2,088May 4, 2023Updated 2 years ago
- OpenAI Baselines: high-quality implementations of reinforcement learning algorithms☆16,677Aug 1, 2024Updated last year
- TensorFlow implementation of Deep Reinforcement Learning papers☆1,586Jun 4, 2018Updated 7 years ago
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,310Jul 31, 2024Updated last year
- Guided Policy Search☆605Feb 9, 2021Updated 5 years ago
- Deep Reinforcement Learning for Keras.☆5,551Sep 17, 2023Updated 2 years ago
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,169Apr 2, 2023Updated 2 years ago
- PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinfor…☆3,882May 29, 2022Updated 3 years ago
- A starter agent that can solve a number of universe environments.☆1,105Apr 7, 2018Updated 7 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,931Jul 13, 2023Updated 2 years ago
- A list of recent papers regarding deep reinforcement learning☆2,199Jun 15, 2016Updated 9 years ago
- A toolkit for developing and comparing reinforcement learning algorithms.☆37,114Oct 11, 2024Updated last year
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆349Nov 22, 2018Updated 7 years ago
- ☆160Jul 21, 2017Updated 8 years ago
- Collection of reinforcement learning algorithms☆2,884Jun 17, 2024Updated last year
- Reinforcement Learning with Deep Energy-Based Policies☆436Nov 28, 2023Updated 2 years ago
- Asynchronous Methods for Deep Reinforcement Learning☆591Aug 9, 2018Updated 7 years ago
- Reinforcement Learning in PyTorch☆2,273Jan 4, 2021Updated 5 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆731Nov 22, 2018Updated 7 years ago
- Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)☆1,122Oct 13, 2017Updated 8 years ago
- Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"☆1,008Mar 18, 2018Updated 8 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆408Feb 25, 2017Updated 9 years ago
- A customisable 3D platform for agent-based AI research☆7,341Jan 4, 2023Updated 3 years ago
- Reinforcement learning resources curated☆9,679May 25, 2023Updated 2 years ago
- Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning☆2,582Apr 18, 2019Updated 6 years ago
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,473Dec 7, 2022Updated 3 years ago
- Efficient Batched Reinforcement Learning in TensorFlow☆975Jan 11, 2019Updated 7 years ago
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,629Oct 31, 2019Updated 6 years ago
- Python Implementation of Reinforcement Learning: An Introduction☆14,595Aug 9, 2024Updated last year
- Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.☆10,856Nov 4, 2024Updated last year
- Assignments for CS294-112.☆1,654Mar 24, 2023Updated 3 years ago
- A fork of OpenAI Baselines, implementations of reinforcement learning algorithms☆4,324Sep 4, 2022Updated 3 years ago
- TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper☆552Mar 7, 2019Updated 7 years ago
- Soft Actor-Critic☆1,230Nov 29, 2023Updated 2 years ago
- Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official imp…☆1,416Nov 29, 2023Updated 2 years ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,418Apr 16, 2024Updated last year
- Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and ot…☆7,515Apr 5, 2018Updated 7 years ago
- An End-To-End, Lightweight and Flexible Platform for Game Research☆2,093Aug 30, 2021Updated 4 years ago