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Robotics

2,069 papers

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Papers

Solving Challenging Dexterous Manipulation Tasks With Trajectory Optimisation and Reinforcement Learning ICML 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills ICML 2021
Unsupervised Learning of Visual 3D Keypoints for Control ICML 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning ICML 2021
Demonstration-Conditioned Reinforcement Learning for Few-Shot Imitation ICML 2021
SAINT-ACC: Safety-Aware Intelligent Adaptive Cruise Control for Autonomous Vehicles Using Deep Reinforcement Learning ICML 2021
Reinforcement Learning Under Moral Uncertainty ICML 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies ICML 2021
PID Accelerated Value Iteration Algorithm ICML 2021
Learning Task Informed Abstractions ICML 2021
Generalizable Episodic Memory for Deep Reinforcement Learning ICML 2021
Learning and Planning in Complex Action Spaces ICML 2021
Imitation by Predicting Observations ICML 2021
Monotonic Robust Policy Optimization with Model Discrepancy ICML 2021
Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training ICML 2021
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning ICML 2021
Guided Exploration with Proximal Policy Optimization using a Single Demonstration ICML 2021
Value Iteration in Continuous Actions, States and Time ICML 2021
Provably Efficient Learning of Transferable Rewards ICML 2021
PODS: Policy Optimization via Differentiable Simulation ICML 2021
Temporal Predictive Coding For Model-Based Planning In Latent Space ICML 2021
Megaverse: Simulating Embodied Agents at One Million Experiences per Second ICML 2021
Efficient Differentiable Simulation of Articulated Bodies ICML 2021
Cross-domain Imitation from Observations ICML 2021