udion / Transformer-RL
Experiments with transformer based RL algorithms
☆22Updated 5 years ago
Alternatives and similar repositories for Transformer-RL:
Users that are interested in Transformer-RL are comparing it to the libraries listed below
- PyTorch IMPALA implementation☆25Updated 5 years ago
- ☆41Updated 5 years ago
- Modified versions of the SAC algorithm from spinningup for discrete action spaces and image observations.☆94Updated 4 years ago
- Implementation of Deep Reinforcement Learning from Self-Play in Imperfect-Information Games (Heinrich and Silver, 2016)☆46Updated 6 years ago
- Proximal Policy Optimization with Beta distribution - uses multi agent Unity ML Tennis☆28Updated 6 years ago
- Adaptive Attention Span for Reinforcement Learning☆133Updated 4 years ago
- Attention-based Curiosity-driven Exploration in Deep Reinforcement Learning☆25Updated 5 years ago
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated 2 years ago
- Implementation of Multi-Agent Reinforcement Learning algorithm(s). Currently includes: MADDPG☆64Updated 5 years ago
- Random network distillation on Montezuma's Revenge and Super Mario Bros.☆44Updated 2 years ago
- Experiments to train transformer network to master reinforcement learning environments.☆33Updated 3 years ago
- Pytorch implementation of distributed deep reinforcement learning☆74Updated 2 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated 2 years ago
- Arena: A General Evaluation Platform and Building Toolkit for Single/Multi-Agent Intelligence. AAAI 2020.☆101Updated last week
- This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled …☆115Updated 2 months ago
- Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)☆80Updated 2 years ago
- Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems☆31Updated 6 years ago
- using recurrent networks(LSTM) to solve POMDPs☆35Updated 6 years ago
- MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entire…☆67Updated 4 years ago
- Distributed RL Implementation using Pytorch and Ray (ApeX(Ape-X), A3C, Distributed-PPO(DPPO), Impala)☆26Updated 2 years ago
- DecentralizedLearning☆22Updated 2 years ago
- Distributional Soft Actor Critic☆50Updated 4 years ago
- This is an pytorch implementation of Distributed Proximal Policy Optimization(DPPO).☆62Updated 6 years ago
- Negative Update Intervals in Multi-Agent Deep Reinforcement Learning☆32Updated 5 years ago
- ☆71Updated 7 months ago
- Collection of OpenAI parametrized action-space environments.☆62Updated last year
- Recurrent continuous reinforcement learning algorithms implemented in Pytorch.☆50Updated 3 years ago
- Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery☆98Updated 2 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago