Travelled to:1 × China
1 × USA
1 × United Kingdom
Collaborated with:M.White R.S.Sutton O.Sigaud P.Wuillemin D.Silver G.Lever N.Heess D.Wierstra M.A.Riedmiller
Talks about:polici (2) learn (2) determinist (1) algorithm (1) structur (1) reinforc (1) gradient (1) process (1) problem (1) markov (1)
Person: Thomas Degris
DBLP: Degris:Thomas
Contributed to:
201420122006Wrote 3 papers:
- ICML-c1-2014-SilverLHDWR #algorithm #policy
- Deterministic Policy Gradient Algorithms (DS, GL, NH, TD, DW, MAR), pp. 387–395.
- ICML-2012-DegrisWS #linear
- Linear Off-Policy Actor-Critic (TD, MW, RSS), p. 28.
- ICML-2006-DegrisSW #learning #markov #problem #process
- Learning the structure of Factored Markov Decision Processes in reinforcement learning problems (TD, OS, PHW), pp. 257–264.