Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184
☆49Apr 14, 2019Updated 7 years ago
Alternatives and similar repositories for ActionRobustRL
Users that are interested in ActionRobustRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆72Jan 26, 2021Updated 5 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆144Nov 16, 2021Updated 4 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆33Jan 21, 2022Updated 4 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆35Feb 22, 2021Updated 5 years ago
- Github Repo for CARL: Cautious Adaptation for RL in Safety Critical Settings☆14Nov 22, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for ICLR 2022 publication: Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL. https://openreview…☆10Aug 31, 2024Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆32Jun 2, 2023Updated 3 years ago
- Robust Reinforcement Learning Benchmark☆14Sep 22, 2024Updated 2 years ago
- Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.☆11Jun 12, 2019Updated 7 years ago
- This repository contains PyTorch implementations of reinforcement learning algorithms. Its purpose is to provide straightforward and easi…☆19Nov 10, 2023Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆29Mar 27, 2021Updated 5 years ago
- ☆20May 1, 2024Updated 2 years ago
- Robust policy search algorithms which train on model ensembles☆31Oct 26, 2016Updated 10 years ago
- [ICML 2024 Oral] Consistent Adversarial Robust Deep Q Networks (CAR-DQN)☆14Feb 27, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆26Jan 13, 2022Updated 4 years ago
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆46Dec 10, 2024Updated last year
- ☆16Sep 25, 2019Updated 7 years ago
- Non-linear policy graph improvement - planning for Dec-POMDPs☆16Mar 3, 2021Updated 5 years ago
- NGSIM Driving RL/Imitation learning environment compatible with rllab☆13Feb 23, 2018Updated 8 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Jun 24, 2020Updated 6 years ago
- Pytorch code for "Learning Guidance Rewards with Trajectory-space Smoothing" (NeurIPS 2020)☆12Jul 7, 2021Updated 5 years ago
- [ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control☆134Oct 9, 2020Updated 6 years ago
- Robust and safe deep reinforcement learning algorithms☆17Mar 27, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for the paper "Uncertainty-Driven Exploration for Generalization in Reinforcement Learning".☆28Jul 6, 2023Updated 3 years ago
- EPFL Verifier for Approximate Neural Networks and QPs☆10Dec 7, 2023Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆37Feb 9, 2021Updated 5 years ago
- Single-Life Reinforcement Learning☆14Dec 17, 2022Updated 3 years ago
- [ICML 2022] Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum☆12Jul 15, 2022Updated 4 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆29Oct 29, 2023Updated 3 years ago
- Risk-sensitive Inverse Reinforcement Learning☆11Sep 11, 2019Updated 7 years ago
- Code to accompany the paper 'On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations'☆10Apr 16, 2026Updated 6 months ago
- Implementation and evaluation of Almanac (Automaton/Logic Multi-Agent Natural Actor-Critic), an algorithm for multi-agent reinforcement l…☆10May 5, 2022Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.☆38Mar 29, 2022Updated 4 years ago
- Code for CORL'18 paper "Risk-Aware Active Inverse Reinforcement Learning"☆17Dec 20, 2018Updated 7 years ago
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆12May 30, 2023Updated 3 years ago
- LAMPOS, a strategy-based solution approach for mp-MILPs for real-time mixed-integer MPC with sub-optimality quantification☆11Jun 25, 2023Updated 3 years ago
- Code associated with our paper "Robust Domain Randomization for Reinforcement Learning"☆12Nov 22, 2022Updated 3 years ago
- Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"☆22Dec 17, 2019Updated 6 years ago
- [Neurocomputing, 2023] Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning☆28Dec 25, 2023Updated 2 years ago