abhismatrix1 / Tennis-MultiAgentLinks
This is Multi agent deep reinforcement learning repo which trains an agent to play Tennis. It trains by playing against itself.
☆20Updated 7 years ago
Alternatives and similar repositories for Tennis-MultiAgent
Users that are interested in Tennis-MultiAgent 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 …☆120Updated last year
- An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of refere…☆194Updated 3 years ago
- PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments☆334Updated 4 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆67Updated 6 years ago
- Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.☆79Updated 5 years ago
- ☆76Updated 6 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆116Updated 3 years ago
- (AAAI 2018) Action Branching Architectures for Deep Reinforcement Learning☆120Updated 2 years ago
- A repository of high-performing hierarchical reinforcement learning models and algorithms.☆332Updated 2 years ago
- Multi-Agent Adversarial Inverse Reinforcement Learning, ICML 2019.☆218Updated 6 years ago
- ☆42Updated 6 years ago
- Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC☆100Updated 6 years ago
- MADDPG in Ray/RLlib☆54Updated 6 years ago
- Solving POMDP using Recurrent networks☆92Updated 5 years ago
- Proximal Policy Optimization(PPO) with Intrinsic Curiosity Module(ICM)☆147Updated 7 years ago
- Distributed Multi-Agent Cooperation Algorithm based on MADDPG with prioritized batch data.☆107Updated 5 years ago
- Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" publi…☆249Updated 5 years ago
- Codes accompanying the paper "ROMA: Multi-Agent Reinforcement Learning with Emergent Roles" (ICML 2020 https://arxiv.org/abs/2003.08039)☆168Updated 3 years ago
- Lightweight multi-agent gridworld Gym environment☆213Updated 2 years ago
- Tensorflow implementation of a Deep Distributed Distributional Deterministic Policy Gradients (D4PG) network, trained on OpenAI Gym envir…☆127Updated 6 years ago
- some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Co…☆130Updated 3 years ago
- ☆91Updated 4 years ago
- Deep recurrent Q Learning using Tensorflow, openai/gym and openai/retro☆177Updated 3 years ago
- PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL…☆294Updated 4 years ago
- Level-based Foraging (LBF): A multi-agent environment for RL☆202Updated last year
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆111Updated 3 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆30Updated 7 years ago
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆43Updated 7 years ago
- Gridworld for MARL experiments☆144Updated 5 years ago
- A pytorch tutorial for DRL(Deep Reinforcement Learning)☆224Updated 2 years ago