Neo-X / SMiRL_CodeLinks
☆19Updated 3 years ago
Alternatives and similar repositories for SMiRL_Code
Users that are interested in SMiRL_Code are comparing it to the libraries listed below
Sorting:
- ☆59Updated 2 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated 2 years ago
- The Starcraft Multi-Agent challenge lite☆43Updated last year
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆50Updated 3 years ago
- Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)☆19Updated last year
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 3 years ago
- ☆48Updated last month
- Simple implementation of V-MPO proposed in https://arxiv.org/abs/1909.12238☆48Updated 5 years ago
- ☆54Updated last year
- Fast and flexible multi-agent gridworld reinforcement learning environments.☆48Updated 9 months ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆55Updated 5 years ago
- Official Repository for "Agent Modelling under Partial Observability for Deep Reinforcement Learning"☆39Updated 3 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- Simple maze environments using mujoco-py☆58Updated 2 years ago
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 4 years ago
- Advantage weighted Actor Critic for Offline RL☆52Updated 3 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆176Updated last year
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆51Updated 3 years ago
- [ICLR 2022 Spotlight] Code for Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration☆28Updated 3 years ago
- PyTorch Implementation of COPA for coordinating teams that can dynamically change.☆22Updated 3 years ago
- Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.☆85Updated last week
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 6 months ago
- Implementation of ICML2020 paper <Bidirectional Model-based Policy Optimization>☆23Updated 2 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆33Updated 5 years ago
- LAMBDA is a model-based reinforcement learning agent that uses Bayesian world models for safe policy optimization☆38Updated 3 years ago
- V-MPO torch version with DMLab30 and GTrXL☆13Updated 4 years ago
- [ICLR 2024] Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.☆23Updated last year
- OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation☆16Updated 2 years ago
- Official pytorch implementation of the paper <Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts>.☆21Updated last month