Related papers for reinforcement learning, including classic papers and latest papers in top conferences
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Updated
May 23, 2024
Related papers for reinforcement learning, including classic papers and latest papers in top conferences
Reinforcement Learning Short Course
World Model based Autonomous Driving Platform in CARLA 🚗
A curated list of awesome model based RL resources (continually updated)
A multi-agent deep reinforcement learning model to de-traffic our lives
Reinforcement learning algorithms in RLlib
Recall 2 Imagine, a World Model with superhuman memory. Oral (1.2%) @ ICLR 2024
Muesli RL algorithm implementation (PyTorch) (LunarLander-v2)
A PyTorch implementation of DeepMind's MuZero agent
Model-Based Generative Adversarial Imitation Learning
Model-based Offline Policy Optimization re-implement all by pytorch
Re-implementations of SOTA RL algorithms.
This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm" accepted at NeurIPS 2022.
Pytorch Implementation of MuZero
Codes for "Efficient Offline Policy Optimization with a Learned Model", ICLR2023
Behaviour Cloning of Cartpole Swing-up Policy with Model-Predictive Uncertainty Regularization (UW CSE571 Guided Project)
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.
Toolkit of Causal Model-based Reinforcement Learning.
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