We first formulate this problem as a Constrained Markov Decision Process (CMDP), and propose an online model-free Constrained Deep Reinforcement Learning (CDRL) algorithm based on Lagrangian ...

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To address this problem, we propose a model-free deep reinforcement learning (DRL) based RA algorithm, named as drl RA, in this work, which incorporates the impact of collisions into the reward ...

An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & RFT & Dynamic Sampling & Async Agent RL) ...

TextWorld: Microsoft - A learning environment sandbox for training and testing reinforcement learning (RL) agents on text-based games. Mini Grid: Minimalistic gridworld environment for OpenAI Gym ...

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