IBM / constrained-rl
Constrained Exploration and Recovery from Experience Shaping
☆22Updated 5 years ago
Alternatives and similar repositories for constrained-rl:
Users that are interested in constrained-rl are comparing it to the libraries listed below
- Toolkit of Causal Model-based Reinforcement Learning.☆33Updated last year
- DecentralizedLearning☆22Updated 2 years ago
- We investigate the effect of populations on finding good solutions to the robust MDP☆28Updated 3 years ago
- ☆71Updated 7 months ago
- Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method☆64Updated last year
- Code for Multi-Agent Common Knowledge Reinforcement Learning (NeurIPS 2019)☆33Updated 5 years ago
- Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"☆17Updated 2 years ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆42Updated 5 years ago
- Code for the NeurIPS 2021 paper "Safe Reinforcement Learning by Imagining the Near Future"☆43Updated 2 years ago
- Safe Policy Improvement with Baseline Bootstrapping☆26Updated 4 years ago
- Deep RL agents with PyTorch☆35Updated 3 years ago
- Safe Reinforcement Learning algorithms☆72Updated 2 years ago
- The official repository of Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated Exploration" (AAMAS 2022)☆27Updated 2 years ago
- ☆21Updated 9 months ago
- Paper Collection of Reinforcement Learning Exploration covers Exploration of Muti-Arm-Bandit, Reinforcement Learning and Multi-agent Rein…☆34Updated 5 years ago
- Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>☆18Updated 3 years ago
- (Experimental) Inverse reinforcement learning from trajectories generated by multiple agents with different (but correlated) rewards☆26Updated 5 years ago
- Learning Off-Policy with Online Planning [CoRL 2021 Best Paper Finalist]☆36Updated 2 years ago
- Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"☆34Updated 5 years ago
- Implementation of the Model-Based Meta-Policy-Optimization (MB-MPO) algorithm☆44Updated 6 years ago
- Implementation of VALOR (Variational Option Discovery Algorithms)☆10Updated 5 years ago
- This repository has code for the paper "Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algor…☆26Updated last year
- Code for SPIBB-DQN and Soft-SPIBB-DQN☆11Updated 4 years ago
- The repository is for Reinforcement-Learning Uncertainty research, in which we investigate various uncertain factors in RL.☆20Updated last year
- Implementation of Relational Deep Reinforcement Learning☆25Updated 4 years ago
- Codes for the study "Variational Recurrent Models for Solving Partially Observable Control Tasks", published as a conference paper at ICL…☆51Updated 4 years ago
- This repo is the implementation of paper ''SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning''.☆44Updated last year
- Offline Risk-Averse Actor-Critic (O-RAAC). A model-free RL algorithm for risk-averse RL in a fully offline setting☆33Updated 3 years ago
- Code for demonstration example-task in RUDDER blog☆22Updated 4 years ago
- on-policy optimization baselines for deep reinforcement learning☆28Updated 4 years ago