SafeRL-Lab / Robust-RL-BaselinesLinks
Robust Reinforcement Learning Benchmark
☆10Updated 9 months ago
Alternatives and similar repositories for Robust-RL-Baselines
Users that are interested in Robust-RL-Baselines are comparing it to the libraries listed below
Sorting:
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆45Updated 3 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 4 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆26Updated last year
- Robust Multi-Agent Reinforcement Learning with State Uncertainty☆13Updated 2 years ago
- Codebase for BRDiv: Diverse teammate generation for ad hoc teamwork☆13Updated last year
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆21Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆44Updated 6 years ago
- DecentralizedLearning☆24Updated 2 years ago
- [IEEE Transactions on Intelligent Transportation Systems] Curricular Subgoal for Inverse Reinforcement Learning☆15Updated last year
- [NeurIPS 2023] The official implementation of "Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularizat…☆36Updated last year
- [ICML 2024] The algorithm of Reinforcement Learning with an Assistant Reward Agent (ReLara)☆13Updated 10 months ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆64Updated last year
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆34Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆62Updated last year
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆29Updated 6 months ago
- Implementations of SAILR, PDO, and CSC☆31Updated 11 months ago
- ☆22Updated last year
- Unofficial PyTorch implementation (replicating paper results) of Implicit Q-Learning (In-sample Q-Learning) for offline RL☆22Updated 7 months ago
- curriculum☆25Updated 2 years ago
- Scalable Multi-Agent Reinforcement Learning☆12Updated 3 years ago
- Related papers for offline reforcement learning (we mainly focus on representation and sequence modeling and conventional offline RL)☆18Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆69Updated last year
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆36Updated 4 months ago
- A novel Hierarchical Imitation Learning algorithm based on AIRL.☆22Updated 2 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Updated 2 years ago
- ☆48Updated 7 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆20Updated 3 years ago
- Code for Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations☆18Updated 3 years ago