junsu-kim97 / HIGLLinks
PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).
☆29Updated 3 years ago
Alternatives and similar repositories for HIGL
Users that are interested in HIGL are comparing it to the libraries listed below
Sorting:
- Code for the paper: Hierarchical Reinforcement Learning With Timed Subgoals, published at NeurIPS 2021☆34Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- behavior cloning from observation☆35Updated 4 years ago
- ☆18Updated 2 years ago
- PyTorch code accompanying the paper "Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning" (NeurIPS 2020 spot…☆42Updated last year
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆21Updated 3 years ago
- Deep Implicit Coordination Graphs☆41Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆45Updated 3 years ago
- Code for the paper: "Causal Influence Detection for Improving Efficiency in Reinforcement Learning", by Seitzer, M., Schölkopf, B., Marti…☆43Updated 3 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- ☆56Updated 2 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 4 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆31Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆27Updated 3 years ago
- ☆48Updated last year
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆15Updated last year
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- ☆53Updated last year
- CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning☆63Updated 5 years ago
- ☆49Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆39Updated 7 months ago
- ☆39Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- Learning from Trajectories via Subgoal Discovery☆12Updated 4 years ago
- curriculum☆25Updated 2 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated 2 years ago