jerinphilip / robust-adversarial-rl
Implementation of Robust Adversarial Reinforcement Learning
☆12Updated 7 years ago
Alternatives and similar repositories for robust-adversarial-rl:
Users that are interested in robust-adversarial-rl are comparing it to the libraries listed below
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆22Updated last year
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆29Updated 3 years ago
- DecentralizedLearning☆22Updated 2 years ago
- ☆18Updated 2 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated last year
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated 8 months ago
- ☆21Updated 9 months ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- ☆83Updated 6 years ago
- ☆53Updated last year
- Inverse Reinforcement Learning via State Marginal Matching, CoRL 2020☆44Updated last year
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated last year
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- ☆47Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Code for "Offline Meta-Reinforcement Learning with Advantage Weighting" [ICML 2021]☆46Updated 2 years ago
- ☆71Updated 7 months ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- Gym environments modified with adversarial agents☆35Updated 7 years ago
- ☆25Updated 4 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆53Updated 7 months ago
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆38Updated 2 months ago
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- ☆42Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆64Updated last year