yunke-wang / WGAILLinks
[ICML 2021] Learning to Weight Imperfect Demonstrations
☆20Updated 3 years ago
Alternatives and similar repositories for WGAIL
Users that are interested in WGAIL are comparing it to the libraries listed below
Sorting:
- [IJCAI 2021] Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations☆16Updated 2 years ago
- rlplot is an easy to use and highly encapsulated RL plot library (including basic error bar lineplot and a wrapper to "rliable").☆33Updated 2 years ago
- [ICML 2022] Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning☆37Updated 3 years ago
- Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation (AAAI 2021)☆31Updated 4 years ago
- ☆40Updated 4 years ago
- ☆58Updated 2 years ago
- ☆48Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆44Updated 2 years ago
- Domain-Robust Visual Imitation Learning with Mutual Information Constraints code☆18Updated 4 years ago
- Reading List☆35Updated 2 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆143Updated 2 years ago
- Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)☆60Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 3 years ago
- ☆60Updated last month
- behavior cloning from observation☆37Updated 5 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆123Updated 5 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆155Updated 4 years ago
- Reimplementation of Policy Optimization with Demonstrations (POfD) from ICML 2018.☆16Updated 6 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆29Updated 3 years ago
- Policy Expansion for Bridging Offline-to-Online Reinforcement Learning (ICLR23)☆62Updated 2 years ago
- Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch☆35Updated 5 years ago
- Code for ICLR 2022 paper Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL.☆28Updated 3 years ago
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆16Updated 2 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆80Updated last year
- ☆51Updated 3 years ago
- Conservative Q Learning on top of SAC☆135Updated 3 years ago
- DMControl Generalization Benchmark☆187Updated 2 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆49Updated 6 years ago
- ☆47Updated 3 years ago