A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
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Updated
Aug 10, 2017 - Python
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
This repository contains the code for the CVPR 2020 paper "Exploring Data Aggregation in Policy Learning for Vision-based Urban Autonomous Driving"
A collection of Dagger modules I built and published
THOR Challenge for the CVPR 2017 Workshop on Visual Understanding Across Modalities
Reusable Dagger CI/CD modules for GCP, versioning, and AI-powered deployment agents
imitation learning baseline with dataset aggregation.
[Book] :- Andrea Lonza - Reinforcement Learning Algorithms with Python_ Learn, understand, and develop smart algorithms for addressing AI challenges-Packt Publishing (2019)
a Python library that implements various reinforcement learning algorithms using PyTorch and Gymnasium
Deep Reinforcement Learning - Imitation Learning
Exploring Imitation Learning (DAGGER), RL (Policy Gradients and Soft Actor-Critic) and Imitation-Seeded RL for training MuJoCo Environments in OpenAI's Gym
Multi-task Rl with MCTS
My personal collection of Dagger modules.
Behavior Cloning, DAgger, and BC-RNN from scratch — learning robot policies from expert demonstrations
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