apexrl / CoDAILLinks
Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>
☆19Updated 4 years ago
Alternatives and similar repositories for CoDAIL
Users that are interested in CoDAIL are comparing it to the libraries listed below
Sorting:
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆48Updated 6 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 4 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆51Updated 3 years ago
- code for ROMANCE☆14Updated last year
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆22Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆43Updated 3 years ago
- Deep Implicit Coordination Graphs☆43Updated last year
- IJCAI 2019 - Regularized Opponent Model with Maximum Entropy Objective (ROMMEO)☆23Updated 3 years ago
- Implementations of SAILR, PDO, and CSC☆31Updated last year
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆21Updated 2 months ago
- Scalable Multi-Agent Reinforcement Learning☆15Updated 4 years ago
- ☆40Updated 4 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆41Updated 3 years ago
- Safe Reinforcement Learning with Natural Language Constraints☆15Updated 4 years ago
- ☆60Updated 3 years ago
- PyTorch code accompanying the paper "Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning" (NeurIPS 2021).☆31Updated 4 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆71Updated 2 years ago
- [ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"☆35Updated 3 years ago
- Codes accompanying the paper "Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning" (NeurIPS…☆74Updated 3 years ago
- ☆85Updated 7 years ago
- Code for "Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning" ICML 2021☆67Updated 4 years ago
- Codebase for [Order Matters: Agent-by-agent Policy Optimization](https://openreview.net/forum?id=Q-neeWNVv1)☆32Updated 2 months ago
- ☆42Updated 4 years ago
- Resilient Multi-Agent Reinforcement Learning☆10Updated 3 years ago
- ☆47Updated 3 years ago
- ☆30Updated 4 years ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago