openai / gym-http-apiLinks
API to access OpenAI Gym from other languages via HTTP
☆293Updated 2 years ago
Alternatives and similar repositories for gym-http-api
Users that are interested in gym-http-api are comparing it to the libraries listed below
Sorting:
- Efficient Batched Reinforcement Learning in TensorFlow☆968Updated 6 years ago
- Code for the paper "Curiosity-driven Exploration in Deep Reinforcement Learning via Bayesian Neural Networks"☆344Updated 6 years ago
- Code for the paper "Generative Adversarial Imitation Learning"☆712Updated 6 years ago
- Implementation of TRPO and related algorithms☆632Updated 7 years ago
- Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)☆403Updated 8 years ago
- A Python Interface for the Arcade Learning Environment (Shared Object)☆128Updated 4 years ago
- This is the 0.4 release of the Arcade Learning Environment (ALE), a platform designed for AI research. ALE is based on Stella, an Atari 2…☆160Updated 7 years ago
- ViZDoom Python wrapper☆74Updated 2 years ago
- Persistent advantage learning dueling double DQN for the Arcade Learning Environment☆263Updated 7 years ago
- RLPy Reinforcement Learning Framework☆252Updated 5 years ago
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆382Updated 2 years ago
- ☆303Updated 2 years ago
- A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning ag…☆663Updated 5 years ago
- A reinforcement learning framework☆155Updated 6 years ago
- Code for the paper "Quantifying Transfer in Reinforcement Learning"☆397Updated last year
- Asynchronous Methods for Deep Reinforcement Learning☆591Updated 6 years ago
- An experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.☆326Updated 7 years ago
- Deep Reinforcement Learning library for humans☆299Updated 7 years ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆814Updated 2 years ago
- Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"☆306Updated 2 years ago
- Basic DQN implementation☆225Updated 7 years ago
- Publicly releasable baselines for the Retro contest☆127Updated 6 years ago
- PlayGround: AI Research into Multi-Agent Learning.☆771Updated last year
- StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)☆136Updated 6 years ago
- A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.☆1,003Updated 6 years ago
- Simple deep Q-learning agent.☆700Updated 6 years ago
- Hybrid CPU/GPU implementation of the A3C algorithm for deep reinforcement learning.☆657Updated 5 years ago
- Gym - 32 levels of original Super Mario Bros☆289Updated 6 years ago
- Implementation of Meta-RL A3C algorithm☆403Updated 8 years ago
- Minecraft environment for Open AI Gym, based on Microsoft's Malmo.☆282Updated 4 years ago