94 citations · 225 across the 7 of their papers we have counts for
9 papers
How to Learn a Useful Critic? Model-based Action-Gradient-Estimator Policy Optimization
Pierluca D'Oro, Wojciech Jaśkowski
Deterministic-policy actor-critic algorithms for continuous control improve the actor by plugging its actions into the critic and ascending the action-value gradient, which is obta…
Training Agents using Upside-Down Reinforcement Learning
Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz +2
We develop Upside-Down Reinforcement Learning (UDRL), a method for learning to act using only supervised learning techniques. Unlike traditional algorithms, UDRL does not use rewar…
Artificial Intelligence for Prosthetics - challenge solutions
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty +47
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a giv…
Model-Based Active Exploration
Pranav Shyam, Wojciech Jaśkowski, Faustino Gomez
Efficient exploration is an unsolved problem in Reinforcement Learning which is usually addressed by reactively rewarding the agent for fortuitously encountering novel situations.…
ViZDoom Competitions: Playing Doom from Pixels
Marek Wydmuch, Michał Kempka, Wojciech Jaśkowski
This paper presents the first two editions of Visual Doom AI Competition, held in 2016 and 2017. The challenge was to create bots that compete in a multi-player deathmatch in a fir…
Learning to Play Othello with Deep Neural Networks
Paweł Liskowski, Wojciech Jaśkowski, Krzysztof Krawiec
Achieving superhuman playing level by AlphaGo corroborated the capabilities of convolutional neural architectures (CNNs) for capturing complex spatial patterns. This result was to…
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning
Michał Kempka, Marek Wydmuch, Grzegorz Runc +2
The recent advances in deep neural networks have led to effective vision-based reinforcement learning methods that have been employed to obtain human-level controllers in Atari 260…
Mastering 2048 with Delayed Temporal Coherence Learning, Multi-Stage Weight Promotion, Redundant Encoding and Carousel Shaping
Wojciech Jaśkowski
2048 is an engaging single-player, nondeterministic video puzzle game, which, thanks to the simple rules and hard-to-master gameplay, has gained massive popularity in recent years.…
Systematic N-tuple Networks for Position Evaluation: Exceeding 90% in the Othello League
Wojciech Jaśkowski
N-tuple networks have been successfully used as position evaluation functions for board games such as Othello or Connect Four. The effectiveness of such networks depends on their a…