Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-memory-rl
A curated list of awesome memory in reinforcement learning research materials
https://github.com/schatty/awesome-memory-rl
- End-to-End Egospheric Spatial Memory
- Learning Associative Inference Using Fast Weight Memory
- Solving Continuous Control with Episodic Memory
- Generalizable Episodic Memory for Deep Reinforcement Learning
- Episodic Reinforcement Learning with Associative Memory
- AMRL: Aggregated Memory For Reinforcement Learning
- Sparse Graphical Memory for Robust Planning
- Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards
- Working Memory Graphs
- Hallucinative Topological Memory for Zero-Shot Visual Planning
- Episodic Curiosity through Reachability
- Generalization of Reinforcement Learners with Working and Episodic Memory
- Policy Consolidation for Continual Reinforcement Learning
- Remember and Forget for Experience Replay
- Reinforcement Learning, Fast and Slow - 0)
- Memory Augmented Control Networks
- Neural Map: Structured Memory for Deep Reinforcement Learning
- Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
- Fast deep reinforcement learning using online adjustments from the past
- Continual Reinforcement Learning with Complex Synapses
- Been There, Done That: Meta-Learning with Episodic Recall
- Episodic Memory Deep Q-Networks
- Unsupervised Predictive Memory in a Goal-Directed Agent
- Fast Reinforcement Learning via Slow Reinforcement Learning
- Neural Episodic Control
- Using Fast Weights to Attend to the Recent Past
- Control of Memory, Active Perception, and Action in Minecraft
- Model-Free Episodic Control
- Hippocampal Contributions to Control: The Third Way
- Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
- Gradient Projection Memory for Continual Learning
- Learn from Concepts: Towards the Purified Memory for Few-shot Learning
- Not All Memories are Created Equal: Learning to Forget by Expiring
- Memory-Based Graph Networks
- Meta-Learning Deep Energy-Based Memory Models
- MEMO: A Deep Network for Flexible Combination of Episodic Memories
- Progressive Memory Banks for Incremental Domain Adaptation
- Neural Stored-program Memory
- H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
- Online Multitask Learning with Long-Term Memory
- HiPPO: Recurrent Memory with Optimal Polynomial Projections
- Learning to Learn Variational Semantic Memory
- Improved Schemes for Episodic Memory-based Lifelong Learning
- Self-Attentive Associative Memory
- Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
- Multigrid Neural Memory
- Learning to Remember More with Less Memorization
- Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
- Large Memory Layers with Product Keys
- Episodic Memory in Lifelong Language Learning
- Metalearned Neural Memory
- Ordered Memory
- Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks
- Semi-parametric Topological Memory for Navigation
- Memory-based Parameter Adaptation
- Convolutional Memory Blocks for Depth Data Representation Learning
- Visual Memory for Robust Path Following
- A Simple Cache Model for Image Recognition
- Variational Memory Encoder-Decoder
- Fast Parametric Learning with Activation Memorization
- Learning and Memorization
- Reasoning with Memory Augmented Neural Networks for Language Comprehension
- Learning to Remember Rare Events
- Variational Memory Addressing in Generative Models
- A simple model of recognition and recall memory
- Gradient Episodic Memory for Continual Learning
- End-To-End Memory Networks - 205]
- Large Associative Memory Problem in Neurobiology and Machine Learning
- Compositional Explanations of Neurons
- Coordinated hippocampal-entorhinal replay as structural inference
- Generalisation of structural knowledge in the hippocampal-entorhinal system
- Dendritic cortical microcircuits approximate the backpropagation algorithm