ertsiger / induction-subgoal-automata-rlLinks
Code for the papers "Induction of Subgoal Automata for Reinforcement Learning" (AAAI-20) and "Induction and Exploitation of Subgoal Automata for Reinforcement Learning" (JAIR).
☆11Updated last year
Alternatives and similar repositories for induction-subgoal-automata-rl
Users that are interested in induction-subgoal-automata-rl are comparing it to the libraries listed below
Sorting:
- Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL☆25Updated 3 years ago
- ☆30Updated last year
- ☆10Updated 2 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 3 years ago
- Safe Option-Critic: Learning Safety in the Option-Critic Architecture☆20Updated 6 years ago
- Simple gym environments for safety in Reinforcement Learning Research☆16Updated 10 months ago
- Implementation of the Option-Critic Architecture☆39Updated 6 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆27Updated 2 years ago
- Learning algorithm implementation and experiments in the paper "A Composable Specification Language for Reinforcement Learning Tasks" (ht…☆17Updated 4 years ago
- Learning Laplacian Representations in Reinforcement Learning☆17Updated 4 years ago
- Implementation of the skill discovery algorithm described in ICLR submission "Option Discovery using Deep Skill Chaining"☆28Updated 5 years ago
- Implementation of Truncated Quantile Critics method for continuous reinforcement learning.☆25Updated 2 years ago
- Logically-Constrained Reinforcement Learning☆54Updated 11 months ago
- ☆18Updated last year
- Official code repo for paper: Hybrid RL: Using both offline and online data can make RL efficient.☆24Updated 2 years ago
- Implementations of SAILR, PDO, and CSC☆32Updated 10 months ago
- Code and data for the paper "Bridging RL Theory and Practice with the Effective Horizon"☆48Updated 11 months ago
- ☆53Updated last year
- [ICLR 22] Value Gradient weighted Model-Based Reinforcement Learning.☆24Updated 2 years ago
- ☆45Updated 2 years ago
- ☆31Updated 5 years ago
- Implemention of the Decision-Pretrained Transformer (DPT) from the paper Supervised Pretraining Can Learn In-Context Reinforcement Learni…☆67Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Github repo for HIDIO: Hierarchical Reinforcement Learning by Discovering Intrinsic Options☆46Updated 3 years ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 7 months ago
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆43Updated 2 months ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 5 years ago
- Proximal Policy Option-Critic☆23Updated 6 years ago
- CREATE Environment for long-horizon physics-puzzle tasks with diverse tools☆18Updated 2 years ago