RLC 2026 Paper Schedule
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Sun, August 16
Natural Policy Gradient for Bayesian Network Policies in Markov Potential Games
Sun, August 16
StaQ: a Finite Memory Approach to Discrete Action Policy Mirror Descent
Sun, August 16
Near-Optimal Reinforcement Learning for Linear Distributionally Robust Markov Decision Processes
Sun, August 16
Intrinsic Closed-Loop Practical Asymptotic Stability in Standard Reinforcement Learning
Sun, August 16
Provable Distributional Value Iteration under Partial Observability
Sun, August 16
Online KL-Regularized Reinforcement Learning with Function Approximation under Misspecification
Sun, August 16
Strategically Robust Multi-Agent Reinforcement Learning with Linear Function Approximation
Sun, August 16
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
Sun, August 16
Sign-SZPO: Provable Preference-based Reinforcement Learning with an Unknown Link Function
Sun, August 16
Reward-Conditioned Attention: How Reward Design Shapes What Autonomous Driving Agents See
Sun, August 16
Reward Design Agent for Reinforcement Learning
Sun, August 16
Multi-Modal, Multi-Environment Machine Teaching for Robust Reward Learning
Sun, August 16
Escaping Offline Pessimism: Vector-Field Reward Shaping for Safe Frontier Exploration
Sun, August 16
Leveraging Reward Machines for Efficient Multi-Objective Reinforcement Learning
Sun, August 16
SR-Reward: Taking The Path More Traveled
Sun, August 16
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
Sun, August 16
Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning
Sun, August 16
Gradient Iterated Temporal-Difference Learning
Sun, August 16
Representation Regularization in Distributional Reinforcement Learning
Sun, August 16
From Pixels to Factors: Learning Independently Controllable State Variables for Reinforcement Learning
Sun, August 16
Learning World Value Functions with Successor Representation and Vision Models
Sun, August 16
Gated Q-learning: Add Off-Policy Bias to Taste
Sun, August 16
Efficient Heteroscedastic Bayesian Optimization for Risk-Aware AutoRL
Sun, August 16
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling
Sun, August 16
The Yokai Learning Environment: Tracking Beliefs Over Space and Time
Sun, August 16
The Cell Must Go On: Agar.io for Continual Reinforcement Learning
Sun, August 16
SegDAC: Visual Generalization in Reinforcement Learning via Dynamic Object Tokens
Sun, August 16
Towards Affordable Energy: A Gymnasium Environment for Electric Utility Demand-Response Program
Sun, August 16
Assistax: A Multi-Agent Hardware-Accelerated Reinforcement Learning Benchmark for Assistive Robotics
Sun, August 16
The Open Ant: A Robot Platform for Reinforcement Learning Research
Sun, August 16
ARLBench: Flexible and Efficient Benchmarking for Hyperparameter Optimization in Reinforcement Learning
Mon, August 17
Randomized Exploration for Linear Bandits via Absolute Perturbations
Mon, August 17
ContrastSpanner: Learning Low-Rank Causal Contrasts to Alleviate Power-Set and Eluder Barriers
Mon, August 17
Learning with Coupled Uncertainty
Mon, August 17
Best-of-Both-Worlds Multi-Dueling Bandits: Unified Algorithms for Stochastic and Adversarial Preferences under Condorcet and Borda Objectives
Mon, August 17
Offline-to-Online Learning in Linear Bandits
Mon, August 17
Annealed Softmax Greedy in Many-Armed Bayesian Bandits
Mon, August 17
Collaborative Learning under Strategic Behavior: Mechanisms for Eliciting Feedback in Principal-Agent Bandit Games
Mon, August 17
Bandits for Efficient Experimentation: Adapting to Control Group, Preferences, and Context Drifts
Mon, August 17
Limits of reinforcement learning for decision trees in Markov decision processes
Mon, August 17
Planning for Signaling in Low-Trust Environments
Mon, August 17
Inference-Time Policy Alignment for Fair Reinforcement Learning
Mon, August 17
Improving Human Performance with Value-Aware Interventions: A Case Study in Chess
Mon, August 17
Toward Agents That Reason About Their Computation
Mon, August 17
Let it Cook: Learning to Wait in Sequential Decision Making
Mon, August 17
Trajectory First: A Curriculum for Discovering Diverse Policies
Mon, August 17
Hierarchical Behaviour Spaces
Mon, August 17
Overcoming Valid Action Suppression in Unmasked Policy Gradient Algorithms
Mon, August 17
PPO+: Enhancing proximal policy optimization
Mon, August 17
Repetition as Reinforcement: Enhancing Sample Efficiency via Instant Episode Repetition in Reinforcement Learning
Mon, August 17
Preventing Learning Stagnation in PPO by Scaling to 1 Million Parallel Environments
Mon, August 17
Delightful Policy Gradient
Mon, August 17
Counterfactual Shapley Credit Assignment
Mon, August 17
Reinforcement Learning for Stochastic Shortest Paths with Dead-Ends
Mon, August 17
Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL
Mon, August 17
Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry
Mon, August 17
Shielded Controller Units for RL with Operational Constraints Applied to Remote Microgrids
Mon, August 17
Maximum Entropy Behavior Exploration for Sim2Real Zero-Shot Reinforcement Learning
Mon, August 17
Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning
Mon, August 17
Dynamic Object Masks as Goal Representations for Visual Goal-Conditioned Reinforcement Learning
Mon, August 17
Human-Like Goalkeeping in a Realistic Football Simulation: a Sample-Efficient Reinforcement Learning Approach
Mon, August 17
When Do We Need LLMs? A Diagnostic for Language-Driven Bandits
Mon, August 17
Discovering High Quality Chess Puzzles with Offline Reinforcement Learning
Mon, August 17
Learning When to Stop: Prefix-Optimal Dynamic Diffusion Policies for Continuous Control
Mon, August 17
Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning
Mon, August 17
Architecture over Algorithms: Network Modernization Improves Multi-Objective Reinforcement Learning
Mon, August 17
Revisiting FTA: A Sparse One-to-Many Activation for Reinforcement Learning
Mon, August 17
Short-Term-to-Long-Term Memory Transfer for Knowledge Graphs under Partial Observability
Mon, August 17
Learning the Supports for Categorical Critic in Reinforcement Learning
Mon, August 17
Rethinking the Suitability of RL Algorithms Under Practical Transfer Constraints
Mon, August 17
V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control
Mon, August 17
From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models
Mon, August 17
ICPL: Few-shot In-context Preference Learning via LLMs
Mon, August 17
Modification-Considering Value Learning for Reward Hacking Mitigation in RL
Mon, August 17
PB²: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
Mon, August 17
Discovering Reinforcement Learning Interfaces with Large Language Models
Mon, August 17
Generalization in Monitored Markov Decision Processes (Mon-MDPs)
Mon, August 17
Design Principles for Tabular Multi-Policy MORL in Infinite Horizons
Mon, August 17
Grounding LTL Tasks in Sub-Symbolic RL Environments for Zero-Shot Generalization
Mon, August 17
Biased Dreams: Limitations to Epistemic Uncertainty Quantification in Latent Space Models
Mon, August 17
Risk-Aware General-Utility Markov Decision Processes
Mon, August 17
Stable Planning through Aligned Representations in Model-Based Reinforcement Learning
Mon, August 17
Bi-Level Reinforcement Learning Pathway for Sim-to-Real Optimality
Mon, August 17
Using Common Random Numbers for Simulation-based Planning with Rollouts
Mon, August 17
Gaussian Process Aggregation for Root-Parallel Monte Carlo Tree Search with Continuous Actions
Mon, August 17
Strategically-Linked Decisions in Long-Term Planning and Reinforcement Learning
Mon, August 17
When to Plan: Learning to Select Between Reactive Control and Deliberative Planning
Mon, August 17
Centralized Adaptive Sampling for Reliable Co-training of Independent Multi-Agent Policies
Mon, August 17
Beyond Local Views: Global State Inference with Diffusion Models for Cooperative MARL
Mon, August 17
Credit Assignment and Focused Exploration for Sparse-reward Multi-agent Deep Reinforcement Learning
Mon, August 17
Multi-Agent Reinforcement Learning with Reward Machines for Mixed Cooperative-Competitive Environments
Mon, August 17
Learning Multi-Agent Communication Protocol: Study on Information Entropy Efficiency in MARL
Mon, August 17
Coordination Graphs for Constrained Multi-Agent Reinforcement Learning
Mon, August 17
The challenge of hidden gifts in multi-agent reinforcement learning
Mon, August 17
Sociodynamics of Reinforcement Learning
Tue, August 18
On the Variance of Temporal Difference Learning and its Reduction Using Control Variates
Tue, August 18
Towards Formalizing Reinforcement Learning Theory: A Robbins-Siegmund Approach
Tue, August 18
Statistical Inference for Policy Evaluation with Temporal Difference Learning
Tue, August 18
Finite Time Analysis of the Natural Policy Gradient in Finite-Horizon Markov Decision Processes
Tue, August 18
Solvable models of learning to pursue a moving target
Tue, August 18
Boltzmann Rationality: An Axiomatic Characterization of Entropy-Regularized Policies
Tue, August 18
Optimal Regret for Policy Optimization in Average Reward MDPs Without Mixing
Tue, August 18
When Can Pure Exploitation Succeed in Linear RL? Decoys and Self-Identifiability for Greedy LSVI
Tue, August 18
On the Sample Complexity of Discounted Reinforcement Learning with Optimized Certainty Equivalents
Tue, August 18
Conformal Preemption of Failures in Sequential Decision-Making Agents
Tue, August 18
Distributionally Robust Self Paced Curriculum Reinforcement Learning
Tue, August 18
Adaptive Critic Shaping for Reinforcement Learning with Temporal Logic Constraint
Tue, August 18
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
Tue, August 18
An Unreasonably Simple Approach to Safe Reinforcement Learning
Tue, August 18
Skill-based Safe Reinforcement Learning with Risk Planning
Tue, August 18
V-OCBF: Learning Safety Filters from Offline Data via Value-Guided Offline Control Barrier Functions
Tue, August 18
Yes, Q-learning Helps Offline In-Context RL
Tue, August 18
CODA: Coordination via On-Policy Diffusion for Multi-Agent Offline Reinforcement Learning
Tue, August 18
Fully Offline Reinforcement Learning
Tue, August 18
Dynamics Models for Offline Hyperparameter Selection in Real-World RL
Tue, August 18
Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies
Tue, August 18
Conservative Value Priors: A Bayesian Path to Offline Reinforcement Learning
Tue, August 18
Offline RL with Hierarchical Action Chunking
Tue, August 18
{MOORL}: A Framework for Integrating Offline-Online Reinforcement Learning
Tue, August 18
Confidence Intervals for the Interquartile Mean
Tue, August 18
Synthetic Monitoring Environments for Reinforcement Learning
Tue, August 18
Memory Retention Is Not Enough to Master Memory Tasks in Reinforcement Learning
Tue, August 18
PGTG: Procedurally Generated Grid-Based Traffic Gym
Tue, August 18
Ludax: A GPU-Accelerated Description Language for Board Games
Tue, August 18
Prediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement Learning
Tue, August 18
NutriRL: A Benchmark for Nutritional Regulation under Delayed State Transitions
Tue, August 18
Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots
Tue, August 18
DART: Dual Adaptive Residual Tracking for Low-Bias Advantage Estimation and Credit Assignment in AI Agents
Tue, August 18
FlowRL: A Taxonomy and Modular Framework for Reinforcement Learning with Diffusion Policies
Tue, August 18
A Simple Baseline for Learning Approximate State Abstractions in Factored State Spaces
Tue, August 18
Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning
Tue, August 18
Improving Reward-Based Hindsight Credit Assignment
Tue, August 18
Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching
Tue, August 18
Cohering Reinforcement Learning
Tue, August 18
A Survey of State Representation Learning for Deep Reinforcement Learning
Tue, August 18
Temporally Extended Mixture-of-Experts Models
Tue, August 18
Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
Tue, August 18
A-3PO: Accelerating Asynchronous LLM Training with Staleness-aware Proximal Policy Approximation
Tue, August 18
Scalable Causal Imitation Learning
Tue, August 18
Supervised Reward Inference
Tue, August 18
Minimal Ingredients for Reward Assignment from Expert Demonstrations
Tue, August 18
Generalize and Guide: Decomposing Rewards for Few-Shot Inverse Reinforcement Learning
Tue, August 18
Q-Based Variational Inverse Reinforcement Learning
Tue, August 18
Extending Differential Temporal Difference Methods for Episodic Problems
Tue, August 18
Revisiting Adam for Streaming Reinforcement Learning
Tue, August 18
Forager: a lightweight testbed for continual learning with partial observability in RL
Tue, August 18
Dense and Diverse Goal Coverage in Multi Goal Reinforcement Learning
Tue, August 18
Maximum-Entropy Exploration with Future State-Action Visitation Measures
Tue, August 18
Training on Irrelevant States Implies Data Augmentation: Generalization in Contextual MDPs
Tue, August 18
Weight a moment: risk-aware exploration with Bayes
Tue, August 18
Maximum Entropy Exploration Without Rollouts
Tue, August 18
An Agent-Centric Dynamical Systems Perspective on Multi-Agent Reinforcement Learning
Tue, August 18
ASALT: Adaptive State Alignment for Lateral Transfer in Multi-agent Reinforcement Learning
Tue, August 18
A Causality-Inspired Spatial-Temporal Return Decomposition Approach for Multi-Agent Reinforcement Learning
Tue, August 18
SCoUT: Scalable Communication via Utility-Guided Temporal Grouping in Multi-Agent Reinforcement Learning
Tue, August 18
Decentralized Asymmetric DQN: Decentralization without Factorization in Multi-Agent Reinforcement Learning
Tue, August 18
Fixing Incomplete Value Function Decomposition for Multi-Agent Reinforcement Learning
Tue, August 18
Learning Communication Skills in Multi-task Multi-agent Deep Reinforcement Learning
Tue, August 18
ACPO: Agent-Chained Policy Optimization for Multi-Agent Reinforcement Learning