grockious / deepsynth
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning
☆22Updated 4 years ago
Alternatives and similar repositories for deepsynth:
Users that are interested in deepsynth are comparing it to the libraries listed below
- ☆67Updated last year
- Logically-Constrained Reinforcement Learning☆54Updated 9 months ago
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Official python implementation of ASGRL in ICML 2022 paper: Leveraging Approximate Symbolic Models for Reinforcement Learning via Skill D…☆21Updated 2 years ago
- ICLR'22 Programmatic Reinforcement Learning☆16Updated 2 years ago
- ☆31Updated 4 years ago
- JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"☆100Updated 2 years ago
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆45Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 5 months ago
- ☆36Updated 3 years ago
- ☆24Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- This is the code repository accompanying the ICML 2021 paper LTL2Action: Generalizing LTL Instructions for Multi-Task RL (https://arxiv.o…☆29Updated 10 months ago
- Official release of CompoSuite, a compositional RL benchmark☆47Updated last year
- [ICLR 2025] Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.☆40Updated 3 weeks ago
- ☆53Updated last year
- NeurlPS'23 Instructing Goal-Conditioned Agents with LTL Objectives☆21Updated last year
- Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations☆100Updated 10 months ago
- Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…☆16Updated 4 years ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- Code accompanying the paper Adversarially Trained Actor Critic for Offline Reinforcement Learning by Ching-An Cheng*, Tengyang Xie*, Nan …☆70Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆47Updated 4 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆33Updated 2 years ago
- Logic Reinforcement Learning☆16Updated 9 months ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- My Body Is A Cage☆40Updated 4 years ago
- Code for generating options for planning and reinforcement learning☆12Updated 4 years ago
- This repo relates to the survey paper <Goal-Conditioned Reinforcement Learning: Problems and Solutions>. We collects widely used benchmar…☆124Updated last year