Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.
☆11Mar 1, 2023Updated 3 years ago
Alternatives and similar repositories for safe-slac
Users that are interested in safe-slac are comparing it to the libraries listed below
Sorting:
- Bayes-Adaptive Monte-Carlo Planning algorithm☆17Mar 5, 2013Updated 13 years ago
- The Laser Learning Environment (LLE) is a cooperative MARL grid-world☆13Updated this week
- ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models☆99Apr 8, 2024Updated last year
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17May 9, 2022Updated 3 years ago
- [AAMAS 2024] Code for the paper "MaDi: Learning to Mask Distractions for Generalization in Visual Deep RL"☆25Mar 25, 2025Updated 11 months ago
- Density Constrained Reinforcement Learning☆12Mar 24, 2023Updated 2 years ago
- Original code for the paper "Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping" by Mezghani et al.☆18Jun 8, 2023Updated 2 years ago
- PyTorch implementation of Stochastic Latent Actor-Critic(SLAC).☆94Jul 25, 2024Updated last year
- Proof-carrying code completions in Dafny☆11Apr 4, 2025Updated 11 months ago
- ☆11Sep 21, 2022Updated 3 years ago
- Code for Goal-Aware Prediction: Learning to Model what Matters☆20Jul 15, 2020Updated 5 years ago
- ☆13May 30, 2019Updated 6 years ago
- Avoiding catastrophic failures in reinforcement learning by learning to shape rewards.☆10Nov 13, 2017Updated 8 years ago
- A helper package to get information of scholarly articles from DBLP using its public API☆15May 13, 2025Updated 10 months ago
- ☆10Aug 30, 2023Updated 2 years ago
- ☆10Feb 21, 2019Updated 7 years ago
- Author implementation of the LEADER algorithm: integrating learning and planning to have safer agents☆27Oct 15, 2022Updated 3 years ago
- The homework of robos learning base.☆11May 23, 2023Updated 2 years ago
- Simulator for the INTERACTION dataset☆33Oct 4, 2022Updated 3 years ago
- ☆34Feb 16, 2025Updated last year
- Non-stationary Off-policy Evaluation☆13Nov 8, 2018Updated 7 years ago
- Probabilistic planning in continuous state-action MDPs in TensorFlow.☆13Jun 21, 2022Updated 3 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Jan 16, 2023Updated 3 years ago
- pyCEPS provides an interface to import, visualize and translate clinical mapping data☆14Nov 25, 2025Updated 3 months ago
- Constrained episodic reinforcement learning in concave-convex and knapsack settings☆11Oct 3, 2023Updated 2 years ago
- Code space for L4DC paper "State-wise Safe Reinforcement Learning With Pixel Observations"☆11Apr 5, 2024Updated last year
- A tour of Pomdpland☆10Aug 10, 2022Updated 3 years ago
- ☆14Nov 2, 2025Updated 4 months ago
- Implementation of "POPCORN: Partially Observed Prediction Constrained Reinforcement Learning" (Futoma, Hughes, Doshi-Velez, AISTATS 2020)☆11May 19, 2021Updated 4 years ago
- ☆23Jun 22, 2025Updated 9 months ago
- ☆16Jan 22, 2025Updated last year
- The interface between probabilistic model checking and data-driven policy learning.☆16Mar 11, 2026Updated last week
- Convergent Policy Optimization for Safe Reinforcement Learning☆11Oct 26, 2019Updated 6 years ago
- The code for paper "EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning"☆37Oct 1, 2025Updated 5 months ago
- A web page to collect reproduced papers in one place with their codes☆14Mar 8, 2023Updated 3 years ago
- Official repository for Paper "Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression" (NeurIPS 2022)☆37Oct 19, 2023Updated 2 years ago
- Deep reinforcement learning in autonomous driving☆12Aug 25, 2021Updated 4 years ago
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11May 5, 2020Updated 5 years ago
- A complete introductory course to programming, computer systems and software development (continuously updating).☆12Feb 21, 2024Updated 2 years ago