befelix / Safe-RL-BenchmarkLinks
A library to benchmark reinforcement learning algorithms
☆21Updated 7 years ago
Alternatives and similar repositories for Safe-RL-Benchmark
Users that are interested in Safe-RL-Benchmark are comparing it to the libraries listed below
Sorting:
- Implementation of robust adaptive control methods for the linear quadratic regulator☆38Updated 3 years ago
- Safe learning of regions of attraction in uncertain, nonlinear systems with Gaussian processes☆39Updated 5 years ago
- Safe Exploration with MPC and Gaussian process models☆88Updated 5 years ago
- ☆73Updated 5 years ago
- Differential Dynamic Programming controller operating in OpenAI Gym environment.☆87Updated 5 years ago
- The aim of this repo is to bring ideas and relevant literature relating to Safe-RL in the context of autonomous vehicles.☆50Updated 7 years ago
- Code for the paper Model-Predictive Control via Cross-Entropy and Gradient-Based Optimization☆68Updated 5 years ago
- Working directory for dynamics learning for experimental robots.☆57Updated 4 years ago
- Safe exploration in Markov Decision Processes☆37Updated 7 years ago
- Pytorch implementation of Model Predictive Control with learned models☆30Updated 5 years ago
- ☆54Updated 7 years ago
- Enforcing robust control guarantees within neural network policies☆55Updated 4 years ago
- Safe reinforcement learning with stability guarantees☆233Updated 3 years ago
- Deep Gaussian Process for Inverse Reinforcement Learning☆33Updated 8 years ago
- Sampling based Model Predictive Control package for Model-Based RL research☆55Updated 5 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Code needed to reproduce the examples found in "Learning Control Barrier Functions from Expert Demonstrations," by A. Robey, H. Hu, L. Li…☆73Updated 2 years ago
- Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.☆55Updated 6 years ago
- Inverse Reinforcement Learning, Inverse Optimal Control, Apprenticeship Learning, Imitation Learning review☆44Updated 4 years ago
- Pytorch version of the MPC in model-based reinforcement learning (MBRL), currently only test in the CartPole-swing-up environment☆88Updated 5 years ago
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆84Updated 6 years ago
- Guided policy search in Python and ROS Indigo.☆25Updated 7 years ago
- Library for model based RL in robotics☆37Updated 7 years ago
- Learning Safe Multi-Agent Control with Decentralized Neural Barrier Certificates☆76Updated 2 years ago
- PILCO policy search framework (Matlab version)☆73Updated 7 years ago
- Contains the code for "BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning" by Boris Ivanovic, James Harrison, Apoo…☆12Updated 7 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated last year
- Learning Certified Control Using Contraction Metric (CoRL 2020)☆31Updated 2 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆25Updated 3 years ago
- Learning Lyapunov functions and control policies of nonlinear dynamical systems☆138Updated 4 years ago