RLC 2026 Paper Schedule
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Sun, August 16
11:00 AM – 11:50 AM
Task specification and reward functions
Talk 1 Sign-SZPO: Provable Preference-based Reinforcement Learning with an Unknown Link Function PDF
Talk 2 Reward-Conditioned Attention: How Reward Design Shapes What Autonomous Driving Agents See PDF
Talk 7 J SR-Reward: Taking The Path More Traveled
Talk 8 J From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
Core RL algorithms
Talk 1 Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning PDF
Talk 4 From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning PDF
Talk 8 J On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
Evaluation, benchmarks, and envs
Talk 4 Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Program PDF
Talk 5 Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics PDF
Talk 7 J ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
Mon, August 17
10:20 AM – 11:10 AM
Bandits
Talk 2 ContrastSpanner: Learning Low-Rank Causal Contrasts to Alleviate Power-Set and Eluder Barriers PDF
Talk 4 Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives PDF
Fairness, interpretability, and human-AI interaction + Hierarchical RL and skills
Talk 8 Hierarchical Behaviour Spaces PDF
Core RL algorithms
Applied RL
Talk 2 Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids PDF
Talk 5 Dynamic Object Masks as Goal Representations for Visual Goal-Conditioned Reinforcement Learning PDF
11:40 AM – 12:30 PM
Understanding deep RL
Task specification and reward functions
Planning and model-based RL
Multi-agent RL
Talk 1 Centralized Adaptive Sampling for Reliable Co-training of Independent Multi-Agent Policies PDF
Talk 2 Credit Assignment and Focused Exploration for Sparse-reward Multi-agent Deep Reinforcement Learning PDF
Talk 3 Multi-Agent Reinforcement Learning with Reward Machines for Mixed Cooperative-Competitive Environments PDF
Talk 4 Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL PDF
Talk 7 J Sociodynamics of Reinforcement Learning
Tue, August 18
10:20 AM – 11:10 AM
Theory of RL
Talk 2 Near-Optimal Reinforcement Learning for Linear Distributionally Robust Markov Decision Processes PDF
Talk 4 Finite Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes PDF
Safe, robust, and risk-sensitive RL
Offline RL
Talk 2 CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning PDF
Talk 4 J V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
Talk 5 Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies PDF
Talk 8 J {MOORL}: A Framework for Integrating Offline-Online Reinforcement Learning
Evaluation, benchmarks, and environments
11:40 AM – 12:30 PM
Understanding deep RL
Talk 1 DART: Dual Adaptive Residual Tracking for Low-Bias Advantage Estimation and Credit Assignment in AI Agents PDF
Talk 2 FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies PDF
Talk 6 Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching PDF
Talk 8 J A Survey of State Representation Learning for Deep Reinforcement Learning
RL fine-tuning of LLMs/VLMs/VLAs + Imitation learning
Continual RL + Streaming RL + Exploration
Multi-agent RL
Talk 2 ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning PDF
Talk 3 A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement Learning PDF