Imitation Learning
Showing 10 of 10 projects
An open-source simulator built on Unreal Engine for developing, training, and validating autonomous driving systems.
An elegant PyTorch-based deep reinforcement learning library with modular APIs for both research and application development.
A comprehensive Python-first reinforcement learning framework with modular abstractions for decision intelligence applications.
Clean PyTorch implementations of imitation and reward learning algorithms for reinforcement learning.
An open-source simulator for experimenting with and advancing self-driving AI, accessible to anyone with a PC.
A curated list of awesome tutorials, blogs, and projects for the CARLA autonomous driving simulator.
An OpenAI Gym environment wrapper for the CARLA autonomous driving simulator, enabling reinforcement learning research.
A PyTorch reinforcement learning library implementing DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, and IMPALA.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
A simple implementation of the DAGGER imitation learning algorithm for autonomous steering control in the Torcs racing simulator.
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