RodrigoToroIcarte / reward_machinesLinks
☆69Updated last year
Alternatives and similar repositories for reward_machines
Users that are interested in reward_machines are comparing it to the libraries listed below
Sorting:
- Logically-Constrained Reinforcement Learning☆54Updated 11 months ago
- Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…☆17Updated 4 years ago
- This is the code repository accompanying the ICML 2021 paper LTL2Action: Generalizing LTL Instructions for Multi-Task RL (https://arxiv.o…☆33Updated last year
- NeurlPS'23 Instructing Goal-Conditioned Agents with LTL Objectives☆21Updated last year
- DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning☆22Updated 4 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- Benchmarking RL generalization in an interpretable way.☆156Updated 2 months ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 3 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆74Updated last year
- A toolkit for auto-generation of OpenAI Gym environments from RDDL description files.☆84Updated last week
- ExORL: Exploratory Data for Offline Reinforcement Learning☆115Updated 3 years ago
- Simple maze environments using mujoco-py☆56Updated last year
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆131Updated 2 years ago
- Benchmarked implementations of Offline RL Algorithms.☆73Updated 3 months ago
- Official python implementation of ASGRL in ICML 2022 paper: Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill D…☆21Updated 2 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆41Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Reinforcement Learning framework for Temporal Goals☆11Updated 2 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆53Updated last year
- Source files to replicate experiments in my ICLR 2022 paper.☆71Updated 11 months ago
- ☆36Updated 2 years ago
- Code exploring the use of reward machines in the context of cooperative multi-agent reinforcement learning.☆13Updated 2 years ago
- Simplifying Model-based RL: Learning Representations, Latent-space Models and Policies with One Objective☆80Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Gridworld domains in the gym interface☆28Updated 8 months ago
- ☆43Updated 2 years ago
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆101Updated last year
- A collection of RL algorithms written in JAX.☆98Updated 2 years ago