apexrl / RL-Exploration-Paper-ListsLinks
Paper Collection of Reinforcement Learning Exploration covers Exploration of Muti-Arm-Bandit, Reinforcement Learning and Multi-agent Reinforcement Learning.
☆36Updated 6 years ago
Alternatives and similar repositories for RL-Exploration-Paper-Lists
Users that are interested in RL-Exploration-Paper-Lists are comparing it to the libraries listed below
Sorting:
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆50Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆73Updated 2 years ago
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆27Updated 2 years ago
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆35Updated 4 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- ☆47Updated 3 years ago
- DecentralizedLearning☆24Updated 3 years ago
- Implementation of Relational Deep Reinforcement Learning☆25Updated 5 years ago
- Distributional Soft Actor Critic☆59Updated 5 years ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Code for MOPO: Model-based Offline Policy Optimization☆190Updated 3 years ago
- ☆42Updated 4 years ago
- Model-Based Offline Reinforcement Learning☆51Updated 4 years ago
- ☆78Updated last year
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 years ago
- A curated list of awesome Model-based reinforcement learning resources☆95Updated 5 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Deep Implicit Coordination Graphs☆43Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆107Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- Implementation of the Option-Critic Architecture☆40Updated 7 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆70Updated last year
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆70Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 3 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆52Updated 7 months ago