SurrealAI / surrealLinks
Open-Source Distributed Reinforcement Learning Framework by Stanford Vision and Learning Lab
☆491Updated 5 years ago
Alternatives and similar repositories for surreal
Users that are interested in surreal are comparing it to the libraries listed below
Sorting:
- [RSS 2019] End-to-End Robotic Reinforcement Learning without Reward Engineering☆374Updated 2 years ago
- S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics☆647Updated 4 years ago
- Code for "One-Shot Visual Imitation Learning via Meta-Learning"☆291Updated 7 years ago
- This repo is intended as an extension for OpenAI Gym for auxiliary tasks (multitask learning, transfer learning, inverse reinforcement le…☆218Updated 6 years ago
- Spriteworld: a flexible, configurable python-based reinforcement learning environment☆372Updated 5 years ago
- This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch☆451Updated 6 years ago
- Trust Region Policy Optimization with TensorFlow and OpenAI Gym☆360Updated 5 years ago
- SenseAct: A computational framework for developing real-world robot learning tasks☆221Updated 2 years ago
- An implementation of the Augmented Random Search algorithm☆425Updated 4 years ago
- Reinforcement Learning with Deep Energy-Based Policies☆429Updated last year
- Deep Planning Network: Control from pixels by latent planning with learned dynamics☆372Updated 4 years ago
- Multitask Environments for RL☆280Updated 4 years ago
- Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability☆206Updated 5 years ago
- This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"☆190Updated 6 years ago
- lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.☆377Updated 2 years ago
- ☆345Updated 7 years ago
- ICML 2018 Self-Imitation Learning☆278Updated 5 years ago
- A PyTorch Platform for Distributed RL☆749Updated 4 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆405Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆827Updated 4 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆310Updated 2 years ago
- ☆185Updated 3 years ago
- Velocity in deep-learning research☆280Updated 2 years ago
- [NIPS 2017] InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆182Updated 11 months ago
- DrQ: Data regularized Q☆417Updated 2 years ago
- Augmented environments with RL☆103Updated 6 years ago
- Implementation of Proximal Meta-Policy Search (ProMP) as well as related Meta-RL algorithm. Includes a useful experiment framework for Me…☆244Updated 3 years ago
- A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release th…☆202Updated 5 years ago
- Atari - Deep Reinforcement Learning algorithms in TensorFlow☆138Updated last year
- Paired Open-Ended Trailblazer (POET) and Enhanced POET☆254Updated 3 years ago