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Supplementary material for offline RL survey

This repository includes the source code for the paper "Leveraging Privileged Information for Partially Observable Reinforcement Learning".

LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization

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Picker for markdown-based citations and lightweight reference manager for BibTeX libraries.

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A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent environments.

Recommending Sequences of Attractions to Tourists with Deep Reinforcement Learning

🤖 Elegant implementations of offline safe RL algorithms in PyTorch

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Bridging State and History Representations: Understanding Self-Predictive RL -- ICLR 2024

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Implementation of ``Actor-Critic Alignment for Offline-to-Online Reinforcement Learning''

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Code accompanying https://arxiv.org/abs/2206.01079

COOM: Benchmarking Continual Reinforcement Learning on Doom