Farama-Foundation / ViZDoom
Reinforcement Learning environments based on the 1993 game Doom
☆1,717Updated last week
Related projects: ⓘ
- The Arcade Learning Environment (ALE) -- a platform for AI research.☆2,136Updated this week
- [ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning☆1,414Updated last year
- rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.☆2,892Updated last year
- DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.☆2,115Updated last year
- PlayGround: AI Research into Multi-Agent Learning.☆765Updated 9 months ago
- Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.☆3,719Updated this week
- A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface☆367Updated last year
- Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"☆1,556Updated 4 years ago
- Retro Games in Gym☆3,385Updated 6 months ago
- Code for the paper "Emergent Complexity via Multi-agent Competition"☆801Updated last year
- Tensorforce: a TensorFlow library for applied reinforcement learning☆3,294Updated last month
- A toolkit for reproducible reinforcement learning research.☆1,858Updated last year
- Simple and easily configurable grid world environments for reinforcement learning☆2,082Updated 2 weeks ago
- MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.☆2,828Updated 9 months ago
- Lua/Torch implementation of DQN (Nature, 2015)☆586Updated 7 years ago
- A starter agent that can solve a number of universe environments.☆1,097Updated 6 years ago
- A Platform for Many-Agent Reinforcement Learning☆1,685Updated last year
- TensorFlow Reinforcement Learning☆3,134Updated last year
- Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms☆2,323Updated last year
- A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.☆1,125Updated last year
- A set of Deep Reinforcement Learning Agents implemented in Tensorflow.☆2,236Updated 5 years ago
- Code for the paper "Meta-Learning Shared Hierarchies"☆610Updated last year
- bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent☆1,503Updated 5 months ago
- Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".☆1,251Updated 2 years ago
- Code for the paper "Exploration by Random Network Distillation"☆873Updated 3 years ago
- Reinforcement learning environments with musculoskeletal models☆884Updated 2 years ago
- Code for the paper "Large-Scale Study of Curiosity-Driven Learning"☆802Updated 3 years ago
- Deep Neuroevolution☆1,628Updated 8 months ago
- Modularized Implementation of Deep RL Algorithms in PyTorch☆3,163Updated 5 months ago
- Rainbow: Combining Improvements in Deep Reinforcement Learning☆1,565Updated 2 years ago