- [D] What are some exciting and challenging RL environments you know of? and how do you choose what RL environment to test your algorithm in? https://github.com/clvrai/awesome-rl-envs 2 comments machinelearning
Linking pages
Linked pages
- GitHub - microsoft/AirSim: Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research https://github.com/Microsoft/AirSim 57 comments
- GitHub - nicrusso7/rex-gym: OpenAI Gym environments for an open-source quadruped robot (SpotMicro) https://github.com/nicrusso7/rex-gym 52 comments
- CARLA Simulator http://www.carla.org 30 comments
- Reinforcement learning with musculoskeletal models http://osim-rl.stanford.edu/ 26 comments
- IKEA Furniture Assembly Environment https://clvrai.github.io/furniture/ 19 comments
- GitHub - openai/mujoco-py: MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3. https://github.com/openai/mujoco-py 15 comments
- GitHub - TorchCraft/TorchCraft: Connecting Torch to StarCraft https://github.com/TorchCraft/TorchCraft 14 comments
- GitHub - openai/procgen: Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments https://github.com/openai/procgen 8 comments
- https://gym.openai.com/envs/#robotics 7 comments
- GitHub - openai/multiagent-particle-envs: Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments" https://github.com/openai/multiagent-particle-envs 4 comments
- GitHub - Farama-Foundation/Minigrid: Simple and easily configurable grid world environments for reinforcement learning https://github.com/maximecb/gym-minigrid 3 comments
- GitHub - bark-simulator/bark-ml: Gym environments and agents for autonomous driving. https://github.com/bark-simulator/bark-ml 1 comment
- GitHub - facebookresearch/House3D: a Realistic and Rich 3D Environment https://github.com/facebookresearch/House3D 1 comment
- GitHub - Farama-Foundation/ViZDoom: Reinforcement Learning environments based on the 1993 game Doom https://github.com/mwydmuch/ViZDoom 1 comment
- GitHub - vitchyr/multiworld: Multitask Environments for RL https://github.com/vitchyr/multiworld 0 comments
- GitHub - beyretb/AnimalAI-Olympics: Code repository for the Animal AI Olympics competition https://github.com/beyretb/AnimalAI-Olympics 0 comments
- GitHub - deepmind/dm_control: DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo. https://github.com/deepmind/dm_control 0 comments
- GitHub - microsoft/TextWorld: TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games. https://github.com/Microsoft/TextWorld 0 comments
- AI Habitat https://aihabitat.org/ 0 comments
- AI2-THOR https://ai2thor.allenai.org 0 comments
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