Positive Reinforcement

November 13, 2024

Robot See, Robot Do: Imitation Reward for Noisy Financial Environments
Sven Goluža, Tomislav Kovačević, Stjepan Begušić, Zvonko Kostanjčar
Reinforcement Learning Robot Person Imitation Learning Positive Reinforcement Reward Function Design Robust Reward Robot Gaze Conditioned Imitation
BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning
Geetansh Kalra, Amit Patel, Atul Chaudhari, Divye Singh
Reinforcement Learning LeArning Abstract Multi Agent System Positive Reinforcement Multiple Robot Collaborative Exploration Multi Agent Exploration Necessary Backtracking
RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm
Geetansh Kalra, Divye Singh, Justin Jose
Reinforcement Learning Reinforcement Learning Agent Positive Reinforcement Learning Algorithm

November 7, 2024

A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model
Panwen Hu, Nan Xiao, Feifei Li, Yongquan Chen, Rui Huang
Vision Language Model Positive Reinforcement Video Editing Scene Level Representation Editing Editing Method

November 4, 2024

Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis
John Komp, Dananjay Srinivas, Maria Pacheco, Ashutosh Trivedi
Reinforcement Learning Reward Function Noisy Demonstration Positive Reinforcement Design Specification Reward Machine Uncertain Episode Length

October 31, 2024

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning
Yujie Zhao, Jose Efraim Aguilar Escamill, Weyl Lu, Huazheng Wang
Reinforcement Learning LeArning Abstract Risk Sensitive Positive Reinforcement Preference Based Reinforcement Learning Quantile Temporal Difference Risk Sensitive Algorithm

October 30, 2024

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval
Sheryl Hsu, Omar Khattab, Chelsea Finn, Archit Sharma
Large Language Model Search Query Positive Reinforcement Retrieval Performance Retrieval Enhanced Preference Based Optimization

October 28, 2024

FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents
Jannis Weil, Jonas Ringsdorf, Julian Barthel, Yi-Ping Phoebe Chen, Tobias Meuser
Reinforcement Learning Multi Agent Reinforcement Learning Positive Reinforcement Video Streaming Learning Agent Fairness Benchmark

October 22, 2024

Multi-Modal Transformer and Reinforcement Learning-based Beam Management
Mohammad Ghassemi, Han Zhang, Ali Afana, Akram Bin Sediq, Melike Erol-Kantarci
Positive Reinforcement Multi Modal Transformer Beam Prediction Beam Management Optimal Beam

October 21, 2024

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning
Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang
LeArning Abstract Multi Agent Reinforcement Learning Positive Reinforcement Graph Model Encoder Decoder Architecture Efficient Collaboration Transformer Agent

October 16, 2024

October 12, 2024

October 10, 2024

Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning
Roberto Barceló, Cristóbal Alcázar, Felipe Tobar
Reinforcement Learning LeArning Abstract Diffusion Model Positive Reinforcement Diffusion Policy Robust Fine Tuning Mode Collapse Reward Fine Tuning

September 25, 2024

Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous
Agni Bandyopadhyay, Guenther Waxenegger-Wilfing
Deep Reinforcement Learning Constructive Approach Proximal Policy Optimization Positive Reinforcement Reinforcement Learning Approach Rendezvous Problem Space Debris Mission Planning Space Debris Removal

September 23, 2024

Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller
Jeonghwan Kim, Yunhai Han, Harish Ravichandar, Sehoon Ha
Legged Robot Learning Based Model Predictive Control Koopman Operator Positive Reinforcement Locomotion Policy Agile Locomotion Safe Locomotion

September 21, 2024

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach
Zhihao Lin, Wei Ma, Mingyi Zhou, Yanjie Zhao, Haoyu Wang, Yang Liu, Jun Wang, Li Li
Jailbreak Attack Positive Reinforcement LLM Safety Maze Environment Robust Defense Jailbreak Evaluation

September 20, 2024

Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions
Mohammad Al-Sharman, Luc Edes, Bert Sun, Vishal Jayakumar, Mohamed A. Daoud, Derek Rayside, William Melek
Reinforcement Learning Autonomous Driving Solution Path Positive Reinforcement Decision Problem Unsignalized Intersection

September 16, 2024

Reinforcement learning-based statistical search strategy for an axion model from flavor
Satsuki Nishimura, Coh Miyao, Hajime Otsuka
Reinforcement Learning Positive Reinforcement New Physic Flavor Neutrino Physic Search Strategy

Papers

Robot See, Robot Do: Imitation Reward for Noisy Financial Environments

BAMAX: Backtrack Assisted Multi-Agent Exploration using Reinforcement Learning

RLInspect: An Interactive Visual Approach to Assess Reinforcement Learning Algorithm

A Reinforcement Learning-Based Automatic Video Editing Method Using Pre-trained Vision-Language Model

Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis

RA-PbRL: Provably Efficient Risk-Aware Preference-Based Reinforcement Learning

Grounding by Trying: LLMs with Reinforcement Learning-Enhanced Retrieval

FairStream: Fair Multimedia Streaming Benchmark for Reinforcement Learning Agents

Multi-Modal Transformer and Reinforcement Learning-based Beam Management

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning

Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners

When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter

ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning

Towards a Domain-Specific Modelling Environment for Reinforcement Learning

Avoiding mode collapse in diffusion models fine-tuned with reinforcement learning

Revisiting Space Mission Planning: A Reinforcement Learning-Guided Approach for Multi-Debris Rendezvous

Learning Koopman Dynamics for Safe Legged Locomotion with Reinforcement Learning-based Controller

PathSeeker: Exploring LLM Security Vulnerabilities with a Reinforcement Learning-Based Jailbreak Approach

Autonomous Driving at Unsignalized Intersections: A Review of Decision-Making Challenges and Reinforcement Learning-Based Solutions

Reinforcement learning-based statistical search strategy for an axion model from flavor