ICRA 2026 Past Reinforcement learning
ICRA 2026 Workshop on Reinforcement Learning in the Era of Imitation Learning
ICRA 2026 Workshop RL4IL
- Submission deadline
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- Submission portal
- OpenReview
- Notes
- Auto-imported from the OpenReview venue record on 2026-06-10 — please verify and enrich (topics are keyword-guessed).
Accepted papers (24)
Fetched from OpenReview (v2) on 2026-06-10.
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Behavior Cloning of MPC for 3-DOF Robotic Manipulators
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Beyond Imitation: Reinforcement Learning–Based Sim–Real Co-Training for VLA Models
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Can Agents Learn Safe Behavior From Non-Preferred Demonstrations?
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Climb with SHERPA: Heuristic-Guided Reinforcement Learning via Segmented Experience Relay
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Coherent Off-Policy Improvement of Large Behaviour Models with Learned Rewards
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Critic Architecture Matters: Dual vs. Unified Critics for Humanoid Loco-Manipulation
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Failure-Aware RL: Reliable Offline-to-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation
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Graph-Based Reward Learning and Automatic Subtask Discovery for Long-Horizon Manipulation
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Hi-CoLA: High Confidence Lower Bound Approximation Based Reinforcement Learning for Flex-Route Transit Operation Control
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Imitation from Videos: Monocular 3D Motion Estimation for Agile Quadruped Locomotion
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KhGRL: Kernelized human-Guided Reinforcement Learning
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Mini Diffuser: Accelerating Diffusion Policy Optimization via Two-Level Minibatching
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Negative Energy as Reward: Optimizing Beyond Demonstrations in Offline Goal-Conditioned Control
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Online Fine-Tuning of Pretrained Controllers for Autonomous Driving via Real-Time Recurrent RL
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Online Planning with Offline Pretrained All-in-One World Model
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ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
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Robometer: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons
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SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows
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Simple Recipe Works: Vision-Language-Action Models are Natural Continual Learners with Reinforcement Learning
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Teacher-Student Representational Alignment for Reinforcement Learning-driven Imitation Learning
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Tune to Learn: How Controller Gains Shape Robot Policy Learning
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Turning the Dial: Bridging Behavior Cloning and Reinforcement Learning via Timestep Modulation
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Vision-Language-Action Jump-Starting for Reinforcement Learning Robotic Agents
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When Life Gives You BC, Make Q-functions: Extracting Q-values from Behavior Cloning for On-Robot Reinforcement Learning