[Playing Atari with Reinforcement Learning](https://somwrks.notion.site/Playing-Atari-with-Reinforcement-Learning-1a6e4acf846e80b18c42e4985d82272d)

[Advances in Prospect Theory: Cumulative Representation of Uncertainty](https://somwrks.notion.site/Advances-in-Prospect-Theory-Cumulative-Representation-of-Uncertainty-261e4acf846e80e3bc6ac61b4dfbc202)

[Regularizing Trajectory Optimization with Denoising Autoencoders](https://somwrks.notion.site/Regularizing-Trajectory-Optimization-with-Denoising-Autoencoders-269e4acf846e80cdb9e7e2e388acc04c)

[Policy Blending and Recombination for Multimodal Contact-Rich Tasks](https://somwrks.notion.site/Policy-Blending-and-Recombination-for-Multimodal-Contact-Rich-Tasks-261e4acf846e801fb60cea30206531f2)

[Exploring Transformer-Augmented LSTM for Temporal and Spatial Feature Learning in Trajectory Prediction](https://somwrks.notion.site/Exploring-Transformer-Augmented-LSTM-for-Temporal-and-Spatial-Feature-Learning-in-Trajectory-Predict-261e4acf846e80ddb2a0e00c642b82d0)

[Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games](https://somwrks.notion.site/Risk-Sensitive-Multi-Agent-Reinforcement-Learning-in-Network-Aggregative-Markov-Games-261e4acf846e80dbb52ef5426733f4eb)

What are VAEs?

[Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning](https://somwrks.notion.site/Mixture-of-Autoencoder-Experts-Guidance-using-Unlabeled-and-Incomplete-Data-for-Exploration-in-Reinf-263e4acf846e807fb031d723ecfd5635)

[Using High-Level Patterns to Estimate How Humans Predict a Robot will Behave](https://somwrks.notion.site/Using-High-Level-Patterns-to-Estimate-How-Humans-Predict-a-Robot-will-Behave-26de4acf846e80978a86d4a589921e1b)

[Behavior Transformers: Cloning k modes with one stone](https://somwrks.notion.site/Behavior-Transformers-Cloning-k-modes-with-one-stone-26de4acf846e8069a86bf082b069dab9)

Behavior Generation with Latent Actions (Lee et al., 2024)

IMITATING HUMAN BEHAVIOUR WITH DIFFUSION MODELS

Action Autoencoder: Predictive Models (emergentmind.com)

Predictive Learning: Using Future Representation Learning Variational Autoencoder... (Runsheng et al.)

A Variational Auto-Encoder Model for Stochastic Point Processes (Mehrasa et al.)

Goal-Conditioned Imitation Learning using Score-based Diffusion Policies (Reuss et al., 2023)

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions (Cui et al.)

TPK: Trustworthy Trajectory Prediction Integrating Prior Knowledge... (Baden et al.)