Alternatives and similar repositories for world-models

Users that are interested in world-models are comparing it to the libraries listed below

• martinseilair / learningoptimalcontrol
  Great resources for learning optimal control
  ☆18Updated 6 years ago
• bryonkucharski / Learning-to-Drive-with-Reinforcement-Learning-and-Variational-Autoencoders
  Project for my graduate neural networks course - combining RL with VAEs
  ☆23Updated 6 years ago
• zuoxingdong / DeepPILCO
  ☆54Updated 7 years ago
• alexlee-gk / citysim3d
  CitySim3D: Simulated car following benchmark
  ☆27Updated 3 years ago
• oxwhirl / opiq
  Code for Optimistic Exploration even with a Pessimistic Initialisation
  ☆14Updated 5 years ago
• gkahn13 / CAPs
  ☆32Updated 7 years ago
• deepdrive / deepdrive-zero
  Top down 2D self-driving car simulator built for running experiments in minutes, not weeks
  ☆39Updated last year
• yuqingd / sim2real2sim_rad
  ☆58Updated 3 years ago
• avisingh599 / imitation-dagger
  [Reimplementation Ross et al 2011] An implementation of DAGGER using ConvNets for driving from pixels.
  ☆85Updated 7 years ago
• NotAnyMike / HRL
  Hierarchical Reinforcement Learning (batteries included)
  ☆48Updated 6 years ago
• kachayev / gym-microrts-paper-sb3
  RL agent to play μRTS with Stable-Baselines3 and PyTorch
  ☆27Updated 4 years ago
• rddy / deepassist
  Shared autonomy via deep reinforcement learning
  ☆81Updated 2 years ago
• aalitaiga / sim-to-real
  From simulation to real world using deep generative models
  ☆18Updated 7 years ago
• edbeeching / 3d_control_deep_rl
  Baselines and memory-based scenarios for the ViZDoom simulator
  ☆36Updated 3 years ago
• mtrazzi / meta_rl
  The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.
  ☆37Updated 6 years ago
• tmoer / multimodal_varinf
  Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".
  ☆35Updated 7 years ago
• YurongYou / rlTORCS
  A modified version of TORCS for deep reinforcement learning.
  ☆123Updated 8 years ago
• zsdonghao / Imitation-Learning-Dagger-Torcs
  A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
  ☆70Updated 8 years ago
• r7vme / learning-to-drive-in-a-day
  Implementation of reinforcement learning approach to make a car learn to drive
  ☆112Updated 2 years ago
• eric-heiden / deep-rl-docker
  Docker image with OpenAI Gym, Baselines, MuJoCo and Roboschool, utilizing TensorFlow and JupyterLab.
  ☆46Updated 6 years ago
• mcgillmrl / prob_mbrl
  A library of probabilistic model based RL algorithms in pytorch
  ☆107Updated 4 years ago
• kindredresearch / arp
  Autoregressive policies for continuous control reinforcement learning
  ☆32Updated 6 years ago
• BerkeleyAutomation / DART
  ☆50Updated 6 years ago
• Miffyli / policy-supervectors
  Creating fixed-length vectors to describe RL/GA policies
  ☆20Updated 4 years ago
• WilsonWangTHU / neural_graph_evolution
  ☆50Updated 2 years ago
• hardmaru / astool
  Augmented environments with RL
  ☆103Updated 6 years ago
• eleurent / phd-defense
  ☆43Updated 4 years ago
• flowersteam / teachDeepRL
  ☆91Updated 4 years ago
• marcino239 / pilco
  Using Pilco algorithm to find a controller for few robotic problems
  ☆43Updated 10 years ago
• Pearl-UTexas / ActiveVaR
  Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"
  ☆16Updated 7 years ago