Neo-X / SMiRL_CodeLinks
☆18Updated 2 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:
- ☆57Updated 2 years ago
- Official code for "RAMBO: Robust Adversarial Model-Based Offline RL", NeurIPS 2022☆30Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 4 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆47Updated 3 years ago
- An open-source framework to benchmark and assess safety specifications of Reinforcement Learning problems.☆68Updated 2 years ago
- Simple maze environments using mujoco-py☆56Updated last year
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 3 years ago
- An open source benchmark for Multi Agent Reinforcement Learning☆30Updated 2 years ago
- Implementation of Tactical Optimistic and Pessimistic value estimation☆25Updated 2 years ago
- 🔥 Datasets and env wrappers for offline safe reinforcement learning☆107Updated last year
- ☆45Updated 2 years ago
- Author's PyTorch implementation of Randomized Ensembled Double Q-Learning (REDQ) algorithm.☆173Updated 11 months ago
- The Starcraft Multi-Agent challenge lite☆41Updated last year
- Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning☆28Updated 3 years ago
- Advantage weighted Actor Critic for Offline RL☆50Updated 3 years ago
- Source files to replicate experiments in my ICLR 2022 paper.☆70Updated 3 months ago
- Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination☆26Updated 2 years ago
- ☆54Updated last year
- Author's PyTorch implementation of LAP and PAL with TD3 and DDQN☆37Updated 3 years ago
- Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)☆50Updated 2 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆41Updated 3 years ago
- Learning Invariant Representations for Reinforcement Learning without Reconstruction☆150Updated 4 years ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆66Updated 2 years ago
- Codes accompanying the paper "Influence-Based Multi-Agent Exploration" (ICLR 2020 spotlight)☆32Updated 5 years ago
- Official codebase for LEAP: Planning with Goal Conditioned Policies☆51Updated 3 years ago
- Unofficial re-implementation of "Learning Latent Dynamics for Planning from Pixels" (https://arxiv.org/abs/1811.04551 ) with PyTorch☆46Updated 5 years ago
- ☆40Updated 3 years ago
- Learning bisimulation metrics for control, particularly suited to sparse reward settings☆10Updated 2 years ago
- ☆201Updated 2 years ago
- ☆26Updated 2 years ago