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"
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
A curated list of awesome Deep Reinforcement Learning resources.
Pytorch code for NeurIPS-20 Paper "Object Goal Navigation using Goal-Oriented Semantic Exploration"
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
✨ A plotter for reinforcement learning (RL)
OpenAI团队的深度强化学习教程中文版
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)
RLbox: Solving OpenAI Gym with TensorFlow
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.
Mirror Descent Policy Optimization
Recall 2 Imagine, a World Model with superhuman memory. Oral (1.2%) @ ICLR 2024
Accelerated minigrid environments with JAX
Deep Reinforcement Learning framework based on TensorFlow and OpenAI Gym
Implementation of Curiosity-Driven Exploration with PyTorch
Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.
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