ServiceNow / avenue
Avenue is a simulator designed to test and prototype reinforcement learning algorithms. Avenue is a ServiceNow Research project that was started at Element AI.
☆15Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for avenue
- Implementation for ICML 2019 paper, EMI: Exploration with Mutual Information.☆36Updated 3 years ago
- From simulation to real world using deep generative models☆17Updated 6 years ago
- Guided-Meta Policy Search☆41Updated last year
- Repository for the paper "Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors"☆44Updated 2 years ago
- Official code for "Task-Embedded Control Networks for Few-Shot Imitation Learning".☆44Updated 4 years ago
- Source code for "Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards" (CoRL 2018)☆13Updated 6 years ago
- The Official Implementation of Domain Adaptive Imitation Learning (DAIL)☆22Updated 4 years ago
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆43Updated 2 years ago
- Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations☆42Updated 7 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆36Updated 2 years ago
- Energy-Based Hindsight Experience Prioritization (CoRL 2018) Oral presentation (7%)☆33Updated 5 years ago
- Implementation of Random Expert Distillation☆29Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 4 years ago
- ☆47Updated 4 years ago
- Official implementation of DynE, Dynamics-aware Embeddings for RL☆43Updated 3 years ago
- Pytorch code for "State-only Imitation with Transition Dynamics Mismatch" (ICLR 2020)☆19Updated 4 years ago
- A comparison of parameter space noise methods for exploration in deep reinforcement learning☆27Updated 5 years ago
- ☆41Updated 3 years ago
- (NeurIPS 2018) Hardware Conditioned Policies for Multi-Robot Transfer Learning☆17Updated 5 years ago
- This is the pytorch implementation of ICML 2018 paper - Self-Imitation Learning.☆66Updated 6 years ago
- Code for ICRA2018 - Intent-aware Multi-agent Reinforcement Learning.☆21Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- Learning robotic mobile manipulation with deep reinforcement learning☆34Updated 2 years ago
- ☆68Updated 3 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 5 years ago
- Self-implemented code for Model-Based Meta-Reinforcement Learning☆17Updated 5 years ago
- Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions☆26Updated 5 years ago
- ☆32Updated 6 years ago
- Code for Continual Learning of Control Primitives☆18Updated 4 years ago
- Creating fixed-length vectors to describe RL/GA policies☆20Updated 3 years ago