XinJingHao / Actor-Sharer-LearnerLinks
Actor-Sharer-Learner training framework for off-policy DRL algorithms
☆21Updated 9 months ago
Alternatives and similar repositories for Actor-Sharer-Learner
Users that are interested in Actor-Sharer-Learner are comparing it to the libraries listed below
Sorting:
- Generalized Proximal Policy Optimization with Sample Reuse (GePPO)☆25Updated 2 years ago
- When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment, NeurIPS 2023 (oral)☆67Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- DecentralizedLearning☆25Updated 2 years ago
- MARS is shortened for Multi-Agent Research Studio, a library for mulit-agent reinforcement learning research.☆48Updated last year
- Official code for "A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning"☆16Updated 2 years ago
- Code for NeurIPS2023 accepted paper: Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.☆38Updated 8 months ago
- Robust Reinforcement Learning Benchmark☆10Updated last year
- Experiments to train transformer network to master reinforcement learning environments.☆32Updated 4 years ago
- Collection of OpenAI parametrized action-space environments.☆66Updated 6 months ago
- Learning Task Embeddings for Teamwork Adaptation in Multi-Agent Reinforcement Learning☆13Updated last year
- An unofficial implementation for online decision transformer☆40Updated 3 years ago
- ☆11Updated 5 years ago
- OpenAi's gym environment wrapper to vectorize them with Ray☆23Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 2 years ago
- ☆25Updated last year
- Modular Single-file Reinfocement Learning Algorithms Library☆38Updated 2 years ago
- Codebase for the paper "How Crucial is Transformer in Decision Transformer?". Containing experiments on different pendulum tasks and code…☆27Updated 2 years ago
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆66Updated last year
- PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER,…☆88Updated 2 years ago
- Deep Reinforcement Learning Framework done with PyTorch☆37Updated 7 months ago
- Code for the paper "D2RL: Deep Dense Architectures for Reinforcement Learning"☆39Updated 4 years ago
- [AAMAS 2023] Code for the paper "Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning"☆12Updated last year
- IV-RL - Sample Efficient Deep Reinforcement Learning via Uncertainty Estimation☆40Updated 3 months ago
- Author's PyTorch Implementation of Deep Homomorphic Policy Gradient (DHPG) - NeurIPS 2022 and JMLR 2024☆23Updated last year
- Benchmarked implementations of Offline RL Algorithms.☆74Updated 7 months ago
- A categorised list of Multi-Agent Reinforcemnt Learning (MARL) papers☆55Updated 2 years ago
- Official code of Nash-DQN for paper: Nash-DQN algorithm for two-player zero-sum Markov games, details see our paper: A Deep Reinforcement…☆20Updated 3 years ago
- Implementations of a large collection of reinforcement learning algorithms.☆28Updated last year
- GAIL learning to imitate PPO playing CartPole.☆12Updated 4 years ago