brain-research / mirage-rl
Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.
☆17Updated 6 years ago
Alternatives and similar repositories for mirage-rl:
Users that are interested in mirage-rl are comparing it to the libraries listed below
- JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"☆43Updated 3 years ago
- Implementation of the Fast Efficient Hyperparameter Tuning for Policy Gradient Methods https://arxiv.org/abs/1902.06583☆17Updated 5 years ago
- Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization☆24Updated 4 years ago
- 📴 OffCon^3: SOTA PyTorch SAC and TD3 Implementations (arxiv: 2101.11331)☆24Updated 3 years ago
- ☆25Updated 6 years ago
- Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations☆48Updated 2 years ago
- Options of Interest: Temporal Abstraction with Interest Functions AAAI 2020☆25Updated 4 years ago
- rlcourse-march-17-hugobb created by GitHub Classroom☆16Updated 7 months ago
- Learning Action-Value Gradients in Model-based Policy Optimization☆31Updated 3 years ago
- Code for reproducing experiments in Model-Based Active Exploration, ICML 2019☆78Updated 5 years ago
- Estimating Q(s,s') with Deep Deterministic Dynamics Gradients☆32Updated 5 years ago
- Proximal Policy Optimization with Stein Control Variates:☆33Updated 7 years ago
- Code for experimenting with state and action abstractions in reinforcement learning.☆30Updated 4 years ago
- Explore the optimization landscape for direct policy learning reinforcement learning.☆50Updated 6 years ago
- A3C style Option-Critic with deliberation cost☆39Updated 7 years ago
- This repository contains the code used in the paper Evaluating the Performance of Reinformcent Learning Algorithms☆27Updated 3 years ago
- Implementation of (Learning Continuous Control Policies by Stochastic Value Gradients)[https://arxiv.org/abs/1510.09142]☆26Updated 3 years ago
- Simple tools for statistical analyses in RL experiments☆66Updated 6 years ago
- Maximum Entropy-Regularized Multi-Goal Reinforcement Learning (ICML 2019)☆23Updated 5 years ago
- ☆65Updated 11 months ago
- ☆30Updated last year
- Autoregressive policies for continuous control reinforcement learning☆29Updated 5 years ago
- Proximal Policy Option-Critic☆22Updated 6 years ago
- A collection of reading material for the Workshop on "Structure & Priors in Reinforcement Learning" (SPiRL) at ICLR 2019.☆13Updated 3 years ago
- Code for paper "Learning Multimodal Transition Dynamics for Model-Based Reinforcement Learning".☆35Updated 6 years ago
- This repository contains code for the method and experiments of the paper "Learning with AMIGo: Adversarially Motivated Intrinsic Goals".☆61Updated last year
- Efficient Exploration via State Marginal Matching (2019)☆67Updated 5 years ago
- ☆27Updated 5 years ago
- Pytorch implementation of LOLA (https://arxiv.org/abs/1709.04326) using DiCE (https://arxiv.org/abs/1802.05098)☆93Updated 6 years ago
- This code implements Prioritized Level Replay, a method for sampling training levels for reinforcement learning agents that exploits the …☆85Updated 3 years ago