daomingAU / MontezumaRevenge_SDRL
☆16Updated 4 years ago
Alternatives and similar repositories for MontezumaRevenge_SDRL:
Users that are interested in MontezumaRevenge_SDRL are comparing it to the libraries listed below
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆44Updated 3 years ago
- ☆54Updated 11 months ago
- Pytorch code for "Learning Belief Representations for Imitation Learning in POMDPs" (UAI 2019)☆18Updated 2 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Implementation of the Option-Critic Architecture☆38Updated 6 years ago
- ☆40Updated 3 years ago
- Curriculum-guided Hindsight Experience Replay (NeurIPS-2019)☆63Updated 5 years ago
- Official code for "Pretraining Representations For Data-Efficient Reinforcement Learning" (NeurIPS 2021)☆52Updated 3 years ago
- ☆25Updated 2 years ago
- Implementation of the Off Belief Learning algorithm.☆45Updated 2 years ago
- ☆29Updated 2 years ago
- Code accompanying HAAR paper, NeurIPS 2019 - Hierarchical Reinforcement Learning with Advantage-Based Auxiliary Rewards☆32Updated 2 years ago
- ☆46Updated 2 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated last year
- Source code for the Self-Paced Deep Reinforcement Learning Experiments☆30Updated last year
- ☆32Updated 5 months ago
- Official Codebase for Offline Reinforcement Learning from Images with Latent Space Models☆31Updated 3 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- PyTorch Implementation of "Language as an Abstraction for Hierarchical Deep Reinforcement Learning" paper☆24Updated 3 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- ☆47Updated last year
- Image-based gridworld experiment for learning Markov state abstractions☆19Updated 5 months ago
- Code for Sibling Rivalry and experiments presented in associated paper☆17Updated 3 years ago
- Reward shaping approach for instruction following settings, leveraging language at multiple levels of abstraction.☆19Updated 3 years ago
- Diversity−Driven Extensible Hierarchical Reinforcement Learning. AAAI 2019.☆48Updated 5 years ago
- using information theory to encourage agents to cooperate and compete☆19Updated 6 years ago