nicklashansen / policy-adaptation-during-deploymentLinks
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
☆114Updated 4 years ago
Alternatives and similar repositories for policy-adaptation-during-deployment
Users that are interested in policy-adaptation-during-deployment are comparing it to the libraries listed below
Sorting:
- ☆43Updated 4 years ago
- Proto-RL: Reinforcement Learning with Prototypical Representations☆82Updated 3 years ago
- The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)☆77Updated last year
- [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"☆231Updated 2 years ago
- pytorch-implementation of Dreamer (Model-based Image RL Algorithm)☆166Updated 5 months ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆148Updated 3 years ago
- Automatic Data-Regularized Actor-Critic (Auto-DrAC)☆102Updated 2 years ago
- ☆113Updated 2 years ago
- rllab's viskit with some added features☆73Updated 2 years ago
- Code for "Data-Efficient Reinforcement Learning with Self-Predictive Representations"☆161Updated 3 years ago
- Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning☆90Updated 2 years ago
- accompanying code for neurips submission "Goal-conditioned Imitation Learning"☆69Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- Code for "Learning to Reach Goals via Iterated Supervised Learning"☆78Updated 3 years ago
- DMControl Generalization Benchmark☆173Updated last year
- Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined wit…☆192Updated 3 years ago
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model☆151Updated 4 years ago
- OpenAI Gym wrapper for the DeepMind Control Suite☆217Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆69Updated 6 years ago
- Code for Environment Probing Interaction Policies [ICLR 2019]☆29Updated 6 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆79Updated 5 years ago
- State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox☆163Updated 5 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆49Updated 2 years ago
- Code repository for Active Domain Randomization (CoRL 2019, https://arxiv.org/abs/1904.04762)☆98Updated 4 years ago
- Pytorch implementations of RL algorithms, focusing on model-based, lifelong, reset-free, and offline algorithms. Official codebase for Re…☆106Updated 3 years ago
- Continual Reinforcement Learning in 3D Non-stationary Environments☆38Updated 6 years ago
- Datasets for data-driven deep reinforcement learning with PyBullet environments☆150Updated 4 years ago
- RE3: State Entropy Maximization with Random Encoders for Efficient Exploration☆69Updated 3 years ago
- Soft Actor-Critic☆151Updated 7 years ago