wangjksjtu / rl-perturbed-rewardLinks
Reinforcement Learning with Perturbed Reward, AAAI 2020
☆30Updated last year
Alternatives and similar repositories for rl-perturbed-reward
Users that are interested in rl-perturbed-reward are comparing it to the libraries listed below
Sorting:
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆34Updated 6 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆109Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆41Updated 5 years ago
- Multi-Agent Determinantal Q-Learning☆44Updated 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
- Learning Individual Intrinsic Reward in MARL☆63Updated 3 years ago
- Implementation of Population-Guided Parallel Policy Search for Reinforcement Learning☆22Updated 6 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆43Updated 3 years ago
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆26Updated 5 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
- ☆85Updated 7 years ago
- Unified Model-Free Hierarchical Reinforcement Learning Framework☆39Updated 6 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆140Updated 4 years ago
- ☆20Updated 2 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆61Updated 5 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆67Updated 4 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆41Updated 3 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆88Updated 8 years ago
- ☆78Updated last year
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 6 years ago
- ☆49Updated 4 years ago
- Paper list for constrained policy optimization in reinforcement learning.☆73Updated 2 years ago
- FEN Code☆40Updated 6 years ago
- Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning☆58Updated 3 years ago
- Hierarchical-DQN in pytorch (not actively maintained)☆73Updated 8 years ago
- ☆26Updated 7 years ago
- ☆92Updated 2 years ago
- code implementation for 'Bi-level Actor-Critic for Multi-agent Coordination'(AAAI2020)☆59Updated 5 years ago
- Assignments for CS294-112.☆30Updated 6 years ago