LAVA-LAB / safe-slac
Safe SLAC, an algorithm for safe cost-constrained reinforcement learning in high-dimensional POMDPs.
☆11Updated 2 years ago
Alternatives and similar repositories for safe-slac:
Users that are interested in safe-slac are comparing it to the libraries listed below
- Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.☆15Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆44Updated 2 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆65Updated last year
- Implementations of SAILR, PDO, and CSC☆32Updated 8 months ago
- ☆18Updated 4 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 8 months ago
- ICLR 2024: SafeDreamer: Safe Reinforcement Learning with World Models☆61Updated 11 months ago
- Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.☆55Updated last year
- Implementations of safe reinforcement learning algorithms☆26Updated last year
- Code and project page for D-REX algorithm from the paper "Better-than-Demonstrator Imitation Learning via Automatically-Ranked Demonstrat…☆50Updated 2 years ago
- ☆47Updated 2 months ago
- ☆23Updated last year
- [CoRL 2021] Official implementation of paper "Safe Driving via Expert Guided Policy Optimization".☆45Updated 11 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆43Updated 5 years ago
- ☆14Updated last year
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆37Updated 2 years ago
- Official open-source implementation of ICML 2022 paper: Reachability Constrainted Reinforcement Learning.☆36Updated 2 years ago
- ☆18Updated 2 years ago
- curriculum☆22Updated 2 years ago
- Official code release for "CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity"☆68Updated 9 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆60Updated 9 months ago
- Official implementation of the paper: Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate☆20Updated last year
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆19Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆34Updated 2 years ago
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆23Updated 4 months ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆88Updated 6 months ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago
- ☆26Updated 3 years ago
- Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21☆23Updated 3 years ago