rejuvyesh / rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
☆13Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for rllab
- A Pytorch Implementation of Multi Agent Soft Actor Critic☆35Updated 5 years ago
- PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning☆49Updated 3 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 3 years ago
- The Reinforcement-Learning-Related Papers of ICLR 2019☆48Updated 5 years ago
- Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)☆108Updated last year
- Distributed (and single-agent) reinforcement learning code for simulated multi-robot distributed assembly.☆23Updated 6 years ago
- Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".☆51Updated 4 years ago
- This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor N…☆38Updated 3 years ago
- Multi-Agent Determinantal Q-Learning☆42Updated 2 years ago
- Code for "Coordinated Exploration via Intrinsic Rewards for Multi-Agent Reinforcement Learning"☆33Updated 3 years ago
- OpenAI Gym interfaces for multi-robot flocking problems☆39Updated 3 years ago
- Code for training policies based on paper Coordinated Multi-Agent Imitation Learning☆26Updated 7 years ago
- (ICML 2023) The official code for RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolut…☆30Updated last year
- ICML 2019 RL for Real Life Workshop: Recurrent MADDPG for Partially Observable and Limited Communication Settings☆40Updated 4 years ago
- Master Thesis - Transfer Learning for Mapless Quadrotor Navigation Using Recurrent Neural Network☆16Updated 3 years ago
- This is MPE-pytorch, fix some bugs.☆10Updated 4 years ago
- DecentralizedLearning☆21Updated last year
- A Multi-agent Learning Framework☆62Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆52Updated last year
- ☆47Updated 5 years ago
- soft q learning and soft actor critic☆15Updated 5 years ago
- ☆24Updated 3 years ago
- Codebase for Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads paper. Website: https://sites.google.com/view/met…☆29Updated last year
- Deep Implicit Coordination Graphs☆41Updated 5 months ago
- Code for the ICRA2018 paper "Learning with training wheels: Speeding up training with a simple controller for Deep Reinforcement Learning…☆35Updated 5 years ago
- Public implementation of "Multi-Agent Graph-Attention Communication and Teaming" from AAMAS'21☆75Updated 6 months ago
- Deep Recurrent Attention Reinforcement Learning in Atari☆82Updated 6 years ago
- Safe Reinforcement Learning in Constrained Markov Decision Processes☆55Updated 4 years ago
- A curated list of awesome Model-based reinforcement learning resources☆90Updated 4 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago