Source code of "Variational Imitation Learning with Diverse-quality Demonstrations" in ICML 2020. This github repository includes python code and datasets used in the experiments.
☆20Aug 16, 2021Updated 4 years ago
Alternatives and similar repositories for vild_code
Users that are interested in vild_code are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Contains an implementation of "Imitation Learning via Kernel Mean Embedding (2018, AAAI)"☆11Oct 2, 2018Updated 7 years ago
- [IJCAI 2021] Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations☆16Feb 17, 2023Updated 3 years ago
- Multi-Modal Imitation Learning in Partially Observable Environments☆14Sep 5, 2020Updated 5 years ago
- [ICML 2021] Learning to Weight Imperfect Demonstrations☆20Nov 4, 2022Updated 3 years ago
- Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning (IROS 2019)☆14Nov 4, 2019Updated 6 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆50Jun 18, 2019Updated 6 years ago
- [NeurIPS'20] Code for the paper "Offline Imitation Learning with a Misspecified Simulator"☆12Nov 24, 2021Updated 4 years ago
- The implement of GAIL with pytorch☆14Mar 11, 2020Updated 6 years ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆35Jan 3, 2021Updated 5 years ago
- Code for Paper "State Alignment-based Imitation Learning". Under maintenance☆17May 1, 2020Updated 6 years ago
- Wasserstein Distance guided Adversarial Imitation Learning (WDAIL) with Reward Shape Exploration☆19Feb 9, 2021Updated 5 years ago
- Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)☆20Feb 29, 2020Updated 6 years ago
- ☆21Dec 17, 2020Updated 5 years ago
- Generalised UDRL☆37May 12, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.☆16Apr 23, 2019Updated 7 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆27Jun 20, 2019Updated 6 years ago
- Code accompanying "Learning What To Do by Simulating the Past", ICLR 2021.☆27May 4, 2021Updated 4 years ago
- Generate expert demonstrations; GAIL(Generative Adversarial Imitation Learning); IRL(Inverse Reinforcement Learning)☆32Aug 11, 2021Updated 4 years ago
- Symbolic Modelling of Highway Traffic Networks with METANET☆12May 27, 2025Updated 11 months ago
- Exploiting Class Activation Value for Partial-Label Learning, ICLR 2022 (poster)☆15Apr 18, 2022Updated 4 years ago
- ☆15Jul 29, 2023Updated 2 years ago
- source code for NeurIPS21 paper robabilistic Margins for Instance Reweighting in Adversarial Training☆11Apr 28, 2022Updated 4 years ago
- Jointly learning policies and latent representations for driver behavior.☆15Jun 6, 2017Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 基于图挖掘的网络异常检测系统的研究与实现☆11Sep 24, 2018Updated 7 years ago
- Author's PyTorch implementation of paper "Provably Good Batch Reinforcement Learning Without Great Exploration"☆11Oct 22, 2020Updated 5 years ago
- PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"☆10Nov 22, 2019Updated 6 years ago
- Reinforcement Learning -- Imitation Learning, Behavior Cloning, DAgger (Data Aggregation)☆22Apr 15, 2018Updated 8 years ago
- Risk-sensitive Inverse Reinforcement Learning☆11Sep 11, 2019Updated 6 years ago
- Hands-on tutorial about Meta RL and GP-MPC at the RL4AA'24 workshop.☆15Apr 20, 2026Updated last week
- Code of Truly Batch Model-Free Inverse Reinforcement Learning about Multiple Intentions☆13May 22, 2023Updated 2 years ago
- Implementation of clipped action policy gradient (CAPG) with PPO and TRPO☆31Jun 24, 2018Updated 7 years ago
- ☆12Nov 28, 2015Updated 10 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆15Mar 25, 2018Updated 8 years ago
- ☆49Apr 22, 2013Updated 13 years ago
- MuJoCo models for Unitree Robots☆12Nov 24, 2021Updated 4 years ago
- Speedy MASt3R repo☆16Sep 25, 2025Updated 7 months ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Apr 5, 2023Updated 3 years ago
- Pytorch code for Arxiv Paper: Learning to learn: Meta-Critic Networks for Sample-Efficient Learning☆57Apr 3, 2018Updated 8 years ago
- Implementation of "Sample-Efficient Deep Reinforcement Learning via Episodic Backward Update", NeurIPS 2019.☆16Sep 24, 2019Updated 6 years ago