Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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Updated
Jan 3, 2024 - Jupyter Notebook
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
A curated list of awesome Deep Reinforcement Learning resources.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
✨ A plotter for reinforcement learning (RL)
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
Accelerated minigrid environments with JAX
Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS 2021 Spotlight https://arxiv.org/abs/2106.03400)
Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024
A reusable framework for successor features for transfer in deep reinforcement learning using keras.
Mirror Descent Policy Optimization
A general model-free off-policy actor-critic implementation. Continuous and Discrete Soft Actor-Critic with multimodal observations, data augmentation, offline learning and behavioral cloning.
OpenAI团队的深度强化学习教程中文版
You can see a reference for Books, Articles, Courses and Educational Materials in this field. Implementation of Reinforcement Learning Algorithms and Environments. Python, OpenAI Gym, Tensorflow.
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
This repository implements the use of AI for robot tasks.
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