ylkuo / ltl-zero-shotLinks
[IROS2020] Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulas
☆10Updated 2 years ago
Alternatives and similar repositories for ltl-zero-shot
Users that are interested in ltl-zero-shot are comparing it to the libraries listed below
Sorting:
- Learning to Coordinate Manipulation Skills via Skill Behavior Diversification (ICLR 2020)☆49Updated 3 years ago
- This is the code repository accompanying the ICML 2021 paper LTL2Action: Generalizing LTL Instructions for Multi-Task RL (https://arxiv.o…☆35Updated last month
- ☆12Updated 4 years ago
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆51Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- ☆56Updated 4 years ago
- ☆18Updated 6 years ago
- Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.a…☆50Updated 5 years ago
- Official PyTorch Implementation for Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning☆19Updated 2 years ago
- Pytorch Implementation of AAMAS 2021 paper <Energy-Based Imitation Learning>☆11Updated 4 years ago
- Count based exploration with the successor representation for Unity ML's Pyramid☆12Updated 6 years ago
- PyTorch Implementation of Hamilton-Jacobi DQN☆16Updated 4 years ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- ☆25Updated 2 years ago
- A collection of manipulation tasks with the fetch robot☆22Updated 4 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Novel Reinforcement Learning method for tackling goal-oriented robotics tasks with obstacles.☆38Updated 3 years ago
- [IROS 22'] Model-free Neural Lyapunov Control☆27Updated 2 years ago
- Residual policy learning☆74Updated 6 years ago
- PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper☆26Updated 3 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆21Updated 4 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 5 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆21Updated 3 years ago
- PyTorch - Implicit Quantile Networks - Quantile Regression - C51☆22Updated 6 years ago
- ☆10Updated 2 years ago
- EARL: Environment for Autonomous Reinforcement Learning☆37Updated 3 years ago
- ☆22Updated 3 years ago
- Change-Based Exploration Transfer☆35Updated 3 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆44Updated 2 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆36Updated 2 years ago