deep-rl

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.

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

Code repository with classical reinforcement learning and deep reinforcement learning methods for Pokémon battles in Pokémon Showdown.

This repository implements the use of AI for robot tasks.

Implementation of Curiosity-Driven Exploration with PyTorch