gopala-kr / DRL-AgentsLinks
research and implementations of Deep RL agents and their applications
☆52Updated 2 weeks ago
Alternatives and similar repositories for DRL-Agents
Users that are interested in DRL-Agents are comparing it to the libraries listed below
Sorting:
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆119Updated 8 months ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆84Updated 6 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆106Updated 4 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆128Updated 2 years ago
- MAGNet: Multi-agents control using Graph Neural Networks☆132Updated 6 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆117Updated 2 years ago
- ☆77Updated 7 years ago
- Implementation of the paper Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation - https:/…☆86Updated 7 years ago
- Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge☆96Updated 2 years ago
- ☆76Updated last year
- Soft Actor-Critic with advanced features☆50Updated last week
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆27Updated 5 years ago
- A Multi-agent Learning Framework☆62Updated 4 years ago
- A Tensorflow implementation of the Option-Critic Architecture☆71Updated 8 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆65Updated 6 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- ☆47Updated 2 years ago
- PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)☆55Updated 2 years ago
- ☆26Updated 7 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆33Updated 6 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆47Updated 6 years ago
- ☆85Updated 3 years ago
- Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks☆218Updated last year
- Hierarchical-DQN in pytorch (not actively maintained)☆70Updated 8 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆40Updated 6 years ago
- FEN Code☆38Updated 5 years ago
- PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning☆67Updated 5 years ago
- Multi-Objective Deep Reinforcement Learning☆45Updated 8 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆142Updated 6 years ago
- ☆84Updated 6 years ago