galdl / rl_delay_basic
Delayed RL agent for non-Atari tasks, from "Acting in Delayed Environments with Non-Stationary Markov Policies", ICLR 2021.
☆14Updated last year
Alternatives and similar repositories for rl_delay_basic:
Users that are interested in rl_delay_basic are comparing it to the libraries listed below
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- ☆47Updated 3 years ago
- PyTorch Implementation of FeUdal Networks for Hierarchical Reinforcement Learning (FuNs), Vezhnevets et al. 2017.☆38Updated 4 years ago
- ☆42Updated 3 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆38Updated 6 years ago
- PyTorch implementation of our paper Reinforcement Learning with Random Delays (ICLR 2020)☆39Updated 2 years ago
- Codes for Paper "Delay-Aware Model-Based Reinforcement Learning for Continuous Control".☆26Updated 4 years ago
- ☆28Updated 3 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- DecentralizedLearning☆22Updated 2 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆99Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- The code for AAMAS2022 《GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning》☆39Updated 3 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆53Updated 7 months ago
- Source code for "A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning" (ICML 2021)☆31Updated 2 years ago
- Exploring algorithms in the domain of offline reinforcement learning (REM, Ensemble-DQN, DQN, ...)☆15Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆51Updated 4 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- Deep Learning (FS 2020)☆16Updated 2 years ago
- ☆38Updated 2 years ago
- Code for "ALMA: Hierarchical Learning for Composite Multi-Agent Tasks" NeurIPS 2022☆26Updated 2 years ago
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆43Updated 5 years ago
- Code for a model-based version of Constrained Policy Optimization☆10Updated 3 years ago
- ☆35Updated 2 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆64Updated 3 years ago
- pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"☆51Updated 2 years ago
- Learning Individual Intrinsic Reward in MARL☆63Updated 2 years ago
- ☆20Updated 11 months ago