shiwj16 / SSINetLinks
A PyTorch implementation of SSINet.
☆16Updated 4 years ago
Alternatives and similar repositories for SSINet
Users that are interested in SSINet are comparing it to the libraries listed below
Sorting:
- Code for our NeurIPS 2020 paper Improving Generalization in Reinforcement Learning with Mixture Regularization☆33Updated 4 years ago
- [ICML 2019] Implementation of "Imitation Learning from Imperfect Demonstration"☆48Updated 5 years ago
- Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".☆14Updated 4 years ago
- An easy to understand implementation of the paper "Model-Based Reinforcement Learning for Atari"☆15Updated 5 years ago
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 4 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Updated 2 years ago
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆32Updated 2 years ago
- ☆17Updated 5 years ago
- [CVPR 2021] Official Implementation of VAI: Unsupervised Visual Attention and Invariance for Reinforcement Learning☆27Updated 3 years ago
- Model-Based Visual Planning with Self-Supervised Functional Distances (ICLR 2021)☆20Updated 3 years ago
- ☆41Updated 3 years ago
- Simple implementation of the model presented in Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic …☆17Updated 6 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 4 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning (NeurIPS 2020)☆39Updated 4 years ago
- ☆17Updated 4 years ago
- Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.☆114Updated 4 years ago
- Code implementing the CORE-RL algorithm with DDPG, PPO, and TRPO. See the paper "Control Regularization for Reduced Variance Reinforcemen…☆32Updated 4 years ago
- Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020☆31Updated 3 years ago
- Code for the paper "Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation"☆19Updated last year
- Source code of "Variational Imitation Learning with Diverse-quality Demonstrations" in ICML 2020. This github repository includes python …☆18Updated 3 years ago
- Latent Dynamics Mixture, NeurIPS 2021☆18Updated 2 years ago
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables☆73Updated 2 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆122Updated 4 years ago
- Collection of papers and resources for data augmentation (DA) in visual reinforcement learning (RL).☆77Updated last year
- ☆11Updated 2 years ago
- Generalizable Imitation Learning from Observation via Inferring Goal Proximity (NeurIPS 2021)☆23Updated 3 years ago
- ☆17Updated 10 months ago
- Image-based gridworld experiment for learning Markov state abstractions☆20Updated 8 months ago
- RAD: Reinforcement Learning with Augmented Data (code for state augmentation)☆11Updated 4 years ago