There are no reviews yet. Be the first to send feedback to the community and the maintainers!
CARLO
2D Driving SimulatorPantheonRL
PantheonRL is a package for training and testing multi-agent reinforcement learning environments. PantheonRL supports cross-play, fine-tuning, ad-hoc coordination, and more.APReL
A Library for Active Preference-based Reward Learning AlgorithmsConfidence-Aware-Imitation-Learning
active-preference-based-gpr
Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"batch-active-preference-based-learning
Companion code to CoRL 2018 paper: E Bıyık, D Sadigh. "Batch Active Preference-Based Learning of Reward Functions". Conference on Robot Learning (CoRL), Zurich, Switzerland, Oct. 2018.explore-eqa
Public release for "Explore until Confident: Efficient Exploration for Embodied Question Answering"ELLA
Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.easy-active-learning
Companion code to CoRL 2019 paper: E Bıyık, M Palan, NC Landolfi, DP Losey, D Sadigh. "Asking Easy Questions: A User-Friendly Approach to Active Reward Learning". 3rd Conference on Robot Learning (CoRL), Osaka, Japan, Oct. 2019.lilac
Companion Codebase for "No, to the Right – Online Language Corrections for Robotic Manipulation via Shared Autonomy"RL_Routing
Companion code to TRC paper: Daniel A. Lazar, Erdem Bıyık, Dorsa Sadigh, Ramtin Pedarsani. "Learning how to Dynamically Route Autonomous Vehicles on Shared Roads". Transportation Research Part C: Emerging Technologies, , vol. 130, pp. 103258, 2021; doi: 10.1016/j.trc.2021.103258.Conventions-ModularPolicy
PyTorch implementation for "On the Critical Role of Conventions in Adaptive Human-AI Collaboration", ICLR 2021DPP-Batch-Active-Learning
Companion code to the preprint: E Bıyık, K Wang, N Anari, D Sadigh, "Batch Active Learning using Determinantal Point Processes". arXiv preprint arXiv:1906.07975, Dec. 2019.TREX-pytorch
A PyTorch implementation for the paper 'Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations'.vla
Code and Experiments for L4DC 2021 Paper: "Learning Visually Guided Latent Actions for Assistive Teleoperation"MultilaneInteractions
ILEED
Companion code for ICML 2022 paper "Imitation Learning by Estimating Expertise of Demonstrators"Learn-Imperfect-Varying-Dynamics
Code for the paper 'Learning from Imperfect Demonstrations from Agents with Varying Dynamics'teaching
Public code release for "Assistive Teaching of Motor Control Tasks to Humans" (NeurIPS 2022).emergent-prosociality-through-gifting
Companion code for IJCAI 2021 paper "Emergent Prosociality in Multi-Agent Games Through Gifting"odyssey
A journey through robotic infrastructure; the ILIAD lab's stack for robotic demonstration collection, policy training, perception, and natural language.reward_adaptation
reward-learning-scale-feedback
Companion code for the CoRL 2021 paper "Learning Reward Functions from Scale Feedback"Multi-Agent-RL
Multi agent Reinforcement learning settingonline-active-querying
multimodal-rewards-from-rankings
Companion code to CoRL 2021 paper "Learning Multimodal Rewards from Rankings"Learning-Feasibility-Different-Dynamics
Code for 'Learning Feasibility to Imitate Demonstrators with Different Dynamics'partner-aware-ucb
Companion code to the AI-HRI 2021 paper "Partner-Aware Algorithms in Decentralized Cooperative Bandit Teams"Love Open Source and this site? Check out how you can help us