CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning
☆63May 20, 2020Updated 5 years ago
Alternatives and similar repositories for CaDM
Users that are interested in CaDM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Oct 27, 2020Updated 5 years ago
- Code for the paper "What Makes Better Augmentation Strategies? Augment Difficult but Not too Different" (ICLR 22)☆12Aug 28, 2023Updated 2 years ago
- Codes for "Learning bounds for risk-sensitive learning," NeurIPS 2020 (or see arXiv 2006.08138)☆11Oct 15, 2020Updated 5 years ago
- Jaehyung Kim et al's ACL 2023 paper on "infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-informat…☆16Jun 28, 2023Updated 2 years ago
- Guide Your Agent with Adaptive Multimodal Rewards (NeurIPS 2023 Accepted)☆33Sep 25, 2023Updated 2 years ago
- Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning☆218Dec 27, 2022Updated 3 years ago
- ☆60Apr 16, 2023Updated 2 years ago
- PyTorch code accompanying the paper "Imitating Graph-Based Planning with Goal-Conditioned Policies" (ICLR 2023).☆21Mar 4, 2023Updated 3 years ago
- Meta-Learning with Self-Improving Momentum Target (NeurIPS 2022)☆23Oct 12, 2022Updated 3 years ago
- Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7☆20Feb 14, 2019Updated 7 years ago
- ☆16Jun 16, 2022Updated 3 years ago
- ☆17Mar 2, 2023Updated 3 years ago
- Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder (NeurIPS 2023)☆10Jun 5, 2024Updated last year
- Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)☆35Jan 11, 2021Updated 5 years ago
- TensorFlow implementation of "A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Le…☆16Jul 2, 2022Updated 3 years ago
- ☆72Jun 20, 2022Updated 3 years ago
- ☆15Jul 1, 2021Updated 4 years ago
- Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)☆167Oct 15, 2023Updated 2 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆18Oct 22, 2019Updated 6 years ago
- Masked World Models for Visual Control☆135Jun 11, 2023Updated 2 years ago
- ☆15Apr 5, 2023Updated 2 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Jul 29, 2021Updated 4 years ago
- 🔍 Codebase for the ICML '20 paper "Ready Policy One: World Building Through Active Learning" (arxiv: 2002.02693)☆18Jul 6, 2023Updated 2 years ago
- Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"☆472Jul 6, 2023Updated 2 years ago
- Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)☆505Dec 1, 2022Updated 3 years ago
- The repository for the official Biased Action Recognition (BAR) dataset for the paper Learning from Failure: Training Debiased Classifier…☆35Nov 10, 2020Updated 5 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆86Jun 12, 2022Updated 3 years ago
- Transformers are Meta-Reinforcement Learners - International Conference on Machine Learning (ICML) 2022☆67May 8, 2023Updated 2 years ago
- SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning☆130Mar 21, 2021Updated 5 years ago
- ☆27Jun 23, 2020Updated 5 years ago
- ☆399Jul 18, 2019Updated 6 years ago
- Evaluating Safety of Autonomous Agents in Mobile Device Control (AAAI 2026 AI Alignment Track)☆32Jan 28, 2026Updated last month
- ☆38Mar 10, 2022Updated 4 years ago
- Guided-Meta Policy Search☆39Jan 19, 2023Updated 3 years ago
- Visual Representation Learning with Stochastic Frame Prediction (ICML 2024)☆26Nov 27, 2024Updated last year
- CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning☆599Oct 28, 2020Updated 5 years ago
- Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"☆537Nov 22, 2022Updated 3 years ago
- Code for ICRA2021 "Policy Transfer via Kinematic Domain Randomization and Adaptation"☆12Apr 28, 2021Updated 4 years ago
- Adversarial Skill Chaining for Long-Horizon Robot Manipulation via Terminal State Regularization (CoRL 2021)☆36May 3, 2022Updated 3 years ago