Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (NeurIPS2021)
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Reinforcement Learning in PyTorch
PFRL: a PyTorch-based deep reinforcement learning library
Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Collection of reinforcement learning algorithms
A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation ...
Implementations of Reinforcement Learning and Planning algorithms
Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcem...
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementat...
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Examples of published reinforcement learning algorithms in recent literature implemented in Tenso...
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compa...
Awesome Domain Adaptation Python Toolbox
Softlearning is a reinforcement learning framework for training maximum entropy policies in conti...
Generalized Decision Transformer for Offline Hindsight Information Matching (ICLR2022)