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Reinforcement Learning

I lost 6hrs of Data due to Spot Instance Intruptions Thought this belonged here. It looks like the one in OpenAI's Gym library environment Strategy to efficiently debug and do reward shaping for Reinforcement Learning resources to learn reinforcement learning [Project] VersatIL: a modular PyTorch framework for imitation learning / behavioral cloning Strategy to efficiently debug and do reward shaping for Reinforcement Learning How we adapted T-Rex's 22 motor primitives into a configurable taxonomy for tactile data annotation is there any interest for a weekly RL reading group? Final Year PhD RL robotic control I studied 150+ Robot Learning papers, and every single one is inside: The End-to-End Robot Learning Pipeline: The Technical Breakdown. Mountain Car IRL Anyone working on the healthcare agents RL! need help ​Visual Behavior Cloning: Local agent playing by itself after 1h of recording At the Top Level A Lot of Racing Games is Just Robotic Semi-Repetition (Human Reinforcement Learning Agents) Drone Swarms Learning Melee and Ranged Battle Tactics via Self-Play Relative vs absolute actions, MeanStd normalization, L2 vs L1: the ablations in the new LingBot-VLA 2.0 paper are a tidy VLA training cheat sheet Junior independent researcher in the field of artificial intelligence I trained a vision-language model to play Snake, and so can you. What makes a simulation model suitable for model-free RL with zero-shot sim-to-real transfer? Should an AI keep track of the paths it rejected? Environment for RL of agents with memory Fixing MCTS for simultaneous-move games with decoupled UCB AV obstacle overtaking using GPMP2 What do you think of Yann Lecun option of RL being the cherry on top of all the ML cake? Open-sourced an RL model to give LLM the sales strategies Necessity of computation in decision making quadruped training in reinforcement learning Training an Agent to play Suika game. Looking for advice Sutton Barto vs Mathematical Foundations of Reinforcement Learning vs others Barto and Sutton book
Action-conditioned video prediction as a world model for control: actually useful, or a detour from latent-space models?
/u/Abbreviat · 2026-07-09 · via Reinforcement Learning
An open model (LingBot-Video) predicts robot manipulation rollouts from an action and hand-pose signal (the c…